Overview

Dataset statistics

Number of variables254
Number of observations1000
Missing cells112
Missing cells (%)< 0.1%
Total size in memory16.5 MiB
Average record size in memory16.9 KiB

Variable types

Numeric1
Text253

Alerts

year_ending has constant value ""Constant
metered_areas_energy has constant value ""Constant
fuel_oil_1_use_kbtu has constant value ""Constant
fuel_oil_5_6_use_kbtu has constant value ""Constant
kerosene_use_kbtu has constant value ""Constant
propane_use_kbtu has constant value ""Constant
costar_property_id has constant value ""Constant
ambulatory_surgical_center has constant value ""Constant
automobile_dealership_gross has constant value ""Constant
convention_center_gross_floor has constant value ""Constant
courthouse_gross_floor_area has constant value ""Constant
data_center_pue has constant value ""Constant
data_center_national_median has constant value ""Constant
distribution_center_gross has constant value ""Constant
enclosed_mall_gross_floor has constant value ""Constant
energy_power_station_gross has constant value ""Constant
outpatient_rehabilitation has constant value ""Constant
urgent_care_clinic_other has constant value ""Constant
mailing_center_post_office has constant value ""Constant
manufacturing_industrial has constant value ""Constant
movie_theater_gross_floor has constant value ""Constant
pre_school_daycare_gross has constant value ""Constant
repair_services_vehicle_shoe has constant value ""Constant
worship_facility_gross_floor has constant value ""Constant
estimated_data_flag_1 has constant value ""Constant
alert_data_center_issue_with has constant value ""Constant
alert_gross_floor_area_is has constant value ""Constant
alert_energy_meter_has has constant value ""Constant
alert_energy_meter_has_gaps has constant value ""Constant
alert_energy_no_meters has constant value ""Constant
alert_property_has_no_uses has constant value ""Constant
outdoor_water_use_all_water has constant value ""Constant
municipally_supplied_potable_2 has constant value ""Constant
convenience_store_with_gas has constant value ""Constant
convenience_store_with_gas_1 has constant value ""Constant
borough has 16 (1.6%) missing valuesMissing
latitude has 16 (1.6%) missing valuesMissing
longitude has 16 (1.6%) missing valuesMissing
community_board has 16 (1.6%) missing valuesMissing
council_district has 16 (1.6%) missing valuesMissing
census_tract has 16 (1.6%) missing valuesMissing
nta has 16 (1.6%) missing valuesMissing
0 has unique valuesUnique
property_id has unique valuesUnique
property_name has unique valuesUnique

Reproduction

Analysis started2023-12-09 20:42:57.429976
Analysis finished2023-12-09 20:43:05.916949
Duration8.49 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:43:06.089009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:43:06.252167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%

property_id
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T20:43:06.685513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.978
Min length4

Characters and Unicode

Total characters6978
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row7365
2nd row8139
3rd row8604
4th row8841
5th row11809
ValueCountFrequency (%)
1633233 1
 
0.1%
1407884 1
 
0.1%
1634566 1
 
0.1%
1633822 1
 
0.1%
1633941 1
 
0.1%
1633724 1
 
0.1%
1634631 1
 
0.1%
1633098 1
 
0.1%
1634696 1
 
0.1%
1634483 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T20:43:07.248939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1729
24.8%
1 1342
19.2%
6 1221
17.5%
4 744
10.7%
2 359
 
5.1%
7 351
 
5.0%
5 344
 
4.9%
0 327
 
4.7%
9 288
 
4.1%
8 273
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6978
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1729
24.8%
1 1342
19.2%
6 1221
17.5%
4 744
10.7%
2 359
 
5.1%
7 351
 
5.0%
5 344
 
4.9%
0 327
 
4.7%
9 288
 
4.1%
8 273
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6978
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1729
24.8%
1 1342
19.2%
6 1221
17.5%
4 744
10.7%
2 359
 
5.1%
7 351
 
5.0%
5 344
 
4.9%
0 327
 
4.7%
9 288
 
4.1%
8 273
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1729
24.8%
1 1342
19.2%
6 1221
17.5%
4 744
10.7%
2 359
 
5.1%
7 351
 
5.0%
5 344
 
4.9%
0 327
 
4.7%
9 288
 
4.1%
8 273
 
3.9%

property_name
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size68.7 KiB
2023-12-09T20:43:07.605445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length44
Median length12
Mean length13.218
Min length3

Characters and Unicode

Total characters13218
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row1155
2nd row200
3rd row114
4th row733
5th rowConde Nast Building
ValueCountFrequency (%)
avenue 34
 
2.5%
21
 
1.5%
street 15
 
1.1%
closed 11
 
0.8%
plaza 11
 
0.8%
madison 11
 
0.8%
park 10
 
0.7%
fifth 10
 
0.7%
of 9
 
0.7%
ave 9
 
0.7%
Other values (1122) 1223
89.7%
2023-12-09T20:43:08.093880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3508
26.5%
1 1240
 
9.4%
- 894
 
6.8%
2 844
 
6.4%
3 761
 
5.8%
4 681
 
5.2%
5 525
 
4.0%
6 395
 
3.0%
8 393
 
3.0%
9 373
 
2.8%
Other values (60) 3604
27.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9083
68.7%
Lowercase Letter 1424
 
10.8%
Uppercase Letter 1361
 
10.3%
Dash Punctuation 894
 
6.8%
Space Separator 365
 
2.8%
Other Punctuation 51
 
0.4%
Open Punctuation 20
 
0.2%
Close Punctuation 20
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 290
21.3%
Q 228
16.8%
X 179
13.2%
M 168
12.3%
R 69
 
5.1%
A 63
 
4.6%
P 47
 
3.5%
S 42
 
3.1%
L 39
 
2.9%
T 34
 
2.5%
Other values (16) 202
14.8%
Lowercase Letter
ValueCountFrequency (%)
e 234
16.4%
n 131
 
9.2%
a 131
 
9.2%
t 107
 
7.5%
i 95
 
6.7%
o 93
 
6.5%
r 88
 
6.2%
s 74
 
5.2%
d 68
 
4.8%
l 67
 
4.7%
Other values (15) 336
23.6%
Decimal Number
ValueCountFrequency (%)
0 3508
38.6%
1 1240
 
13.7%
2 844
 
9.3%
3 761
 
8.4%
4 681
 
7.5%
5 525
 
5.8%
6 395
 
4.3%
8 393
 
4.3%
9 373
 
4.1%
7 363
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 23
45.1%
. 16
31.4%
& 8
 
15.7%
' 2
 
3.9%
/ 2
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 894
100.0%
Space Separator
ValueCountFrequency (%)
365
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10433
78.9%
Latin 2785
 
21.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 290
 
10.4%
e 234
 
8.4%
Q 228
 
8.2%
X 179
 
6.4%
M 168
 
6.0%
n 131
 
4.7%
a 131
 
4.7%
t 107
 
3.8%
i 95
 
3.4%
o 93
 
3.3%
Other values (41) 1129
40.5%
Common
ValueCountFrequency (%)
0 3508
33.6%
1 1240
 
11.9%
- 894
 
8.6%
2 844
 
8.1%
3 761
 
7.3%
4 681
 
6.5%
5 525
 
5.0%
6 395
 
3.8%
8 393
 
3.8%
9 373
 
3.6%
Other values (9) 819
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3508
26.5%
1 1240
 
9.4%
- 894
 
6.8%
2 844
 
6.4%
3 761
 
5.8%
4 681
 
5.2%
5 525
 
4.0%
6 395
 
3.0%
8 393
 
3.0%
9 373
 
2.8%
Other values (60) 3604
27.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size89.9 KiB
2023-12-09T20:43:08.296087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length34.882
Min length5

Characters and Unicode

Total characters34882
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 996
25.0%
applicable 996
25.0%
standalone 996
25.0%
property 996
25.0%
13286 1
 
< 0.1%
1697745 1
 
< 0.1%
28402 1
 
< 0.1%
28400 1
 
< 0.1%
2023-12-09T20:43:08.612062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 2988
 
8.6%
2988
 
8.6%
p 2988
 
8.6%
l 2988
 
8.6%
a 2988
 
8.6%
e 2988
 
8.6%
o 2988
 
8.6%
n 1992
 
5.7%
r 1992
 
5.7%
S 996
 
2.9%
Other values (19) 8986
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26892
77.1%
Uppercase Letter 3984
 
11.4%
Space Separator 2988
 
8.6%
Other Punctuation 996
 
2.9%
Decimal Number 22
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2988
11.1%
p 2988
11.1%
l 2988
11.1%
a 2988
11.1%
e 2988
11.1%
o 2988
11.1%
n 1992
7.4%
r 1992
7.4%
y 996
 
3.7%
d 996
 
3.7%
Other values (3) 2988
11.1%
Decimal Number
ValueCountFrequency (%)
2 4
18.2%
8 3
13.6%
4 3
13.6%
0 3
13.6%
1 2
9.1%
6 2
9.1%
7 2
9.1%
3 1
 
4.5%
9 1
 
4.5%
5 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 996
25.0%
P 996
25.0%
N 996
25.0%
A 996
25.0%
Space Separator
ValueCountFrequency (%)
2988
100.0%
Other Punctuation
ValueCountFrequency (%)
: 996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30876
88.5%
Common 4006
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2988
9.7%
p 2988
9.7%
l 2988
9.7%
a 2988
9.7%
e 2988
9.7%
o 2988
9.7%
n 1992
 
6.5%
r 1992
 
6.5%
S 996
 
3.2%
y 996
 
3.2%
Other values (7) 6972
22.6%
Common
ValueCountFrequency (%)
2988
74.6%
: 996
 
24.9%
2 4
 
0.1%
8 3
 
0.1%
4 3
 
0.1%
0 3
 
0.1%
1 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
3 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 2988
 
8.6%
2988
 
8.6%
p 2988
 
8.6%
l 2988
 
8.6%
a 2988
 
8.6%
e 2988
 
8.6%
o 2988
 
8.6%
n 1992
 
5.7%
r 1992
 
5.7%
S 996
 
2.9%
Other values (19) 8986
25.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size89.9 KiB
2023-12-09T20:43:08.820898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length34.939
Min length7

Characters and Unicode

Total characters34939
Distinct characters36
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 996
24.9%
applicable 996
24.9%
standalone 996
24.9%
property 996
24.9%
nyp 2
 
0.1%
campus 2
 
0.1%
cornell 1
 
< 0.1%
east 1
 
< 0.1%
school 1
 
< 0.1%
of 1
 
< 0.1%
Other values (5) 5
 
0.1%
2023-12-09T20:43:09.150501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2997
 
8.6%
o 2995
 
8.6%
l 2993
 
8.6%
a 2993
 
8.6%
t 2990
 
8.6%
p 2990
 
8.6%
e 2990
 
8.6%
r 1994
 
5.7%
n 1993
 
5.7%
N 998
 
2.9%
Other values (26) 9006
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26936
77.1%
Uppercase Letter 3999
 
11.4%
Space Separator 2997
 
8.6%
Other Punctuation 997
 
2.9%
Decimal Number 6
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2995
11.1%
l 2993
11.1%
a 2993
11.1%
t 2990
11.1%
p 2990
11.1%
e 2990
11.1%
r 1994
7.4%
n 1993
7.4%
i 998
 
3.7%
c 998
 
3.7%
Other values (9) 3002
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
25.0%
P 998
25.0%
S 998
25.0%
A 996
24.9%
C 4
 
0.1%
W 2
 
0.1%
Y 2
 
0.1%
E 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
2 2
33.3%
1 1
16.7%
5 1
16.7%
Other Punctuation
ValueCountFrequency (%)
: 996
99.9%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2997
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30935
88.5%
Common 4004
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2995
9.7%
l 2993
9.7%
a 2993
9.7%
t 2990
9.7%
p 2990
9.7%
e 2990
9.7%
r 1994
 
6.4%
n 1993
 
6.4%
N 998
 
3.2%
P 998
 
3.2%
Other values (17) 7001
22.6%
Common
ValueCountFrequency (%)
2997
74.9%
: 996
 
24.9%
0 2
 
< 0.1%
2 2
 
< 0.1%
) 2
 
< 0.1%
( 2
 
< 0.1%
1 1
 
< 0.1%
/ 1
 
< 0.1%
5 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34939
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2997
 
8.6%
o 2995
 
8.6%
l 2993
 
8.6%
a 2993
 
8.6%
t 2990
 
8.6%
p 2990
 
8.6%
e 2990
 
8.6%
r 1994
 
5.7%
n 1993
 
5.7%
N 998
 
2.9%
Other values (26) 9006
25.8%

year_ending
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:43:09.335680image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters9
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-12-31T00:00:00.000
2nd row2018-12-31T00:00:00.000
3rd row2018-12-31T00:00:00.000
4th row2018-12-31T00:00:00.000
5th row2018-12-31T00:00:00.000
ValueCountFrequency (%)
2018-12-31t00:00:00.000 1000
100.0%
2023-12-09T20:43:09.636481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
8 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10000
58.8%
1 3000
 
17.6%
2 2000
 
11.8%
8 1000
 
5.9%
3 1000
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10000
45.5%
1 3000
 
13.6%
2 2000
 
9.1%
- 2000
 
9.1%
: 2000
 
9.1%
8 1000
 
4.5%
3 1000
 
4.5%
. 1000
 
4.5%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
8 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%
Distinct995
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T20:43:09.978990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length58
Median length10
Mean length10.236
Min length10

Characters and Unicode

Total characters10236
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique990 ?
Unique (%)99.0%

Sample

1st row1009970029
2nd row1013150001
3rd row1009990019
4th row1013190047
5th row1009950005
ValueCountFrequency (%)
2057160725 2
 
0.2%
3016160001 2
 
0.2%
4028790031 2
 
0.2%
4065070001 2
 
0.2%
2024460043 2
 
0.2%
4032120001 1
 
0.1%
1021390001 1
 
0.1%
1021380030 1
 
0.1%
1021380040 1
 
0.1%
2022980001 1
 
0.1%
Other values (994) 994
98.5%
2023-12-09T20:43:10.451834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3951
38.6%
1 1542
 
15.1%
2 890
 
8.7%
3 878
 
8.6%
4 746
 
7.3%
5 530
 
5.2%
6 432
 
4.2%
7 394
 
3.8%
9 363
 
3.5%
8 363
 
3.5%
Other values (18) 147
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10089
98.6%
Dash Punctuation 110
 
1.1%
Other Punctuation 10
 
0.1%
Lowercase Letter 10
 
0.1%
Space Separator 9
 
0.1%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3951
39.2%
1 1542
 
15.3%
2 890
 
8.8%
3 878
 
8.7%
4 746
 
7.4%
5 530
 
5.3%
6 432
 
4.3%
7 394
 
3.9%
9 363
 
3.6%
8 363
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
v 1
10.0%
t 1
10.0%
i 1
10.0%
o 1
10.0%
b 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
X 2
25.0%
K 2
25.0%
M 2
25.0%
A 1
12.5%
N 1
12.5%
Other Punctuation
ValueCountFrequency (%)
; 5
50.0%
, 3
30.0%
/ 2
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10218
99.8%
Latin 18
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3951
38.7%
1 1542
 
15.1%
2 890
 
8.7%
3 878
 
8.6%
4 746
 
7.3%
5 530
 
5.2%
6 432
 
4.2%
7 394
 
3.9%
9 363
 
3.6%
8 363
 
3.6%
Other values (5) 129
 
1.3%
Latin
ValueCountFrequency (%)
X 2
11.1%
a 2
11.1%
l 2
11.1%
K 2
11.1%
M 2
11.1%
A 1
 
5.6%
v 1
 
5.6%
t 1
 
5.6%
i 1
 
5.6%
o 1
 
5.6%
Other values (3) 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3951
38.6%
1 1542
 
15.1%
2 890
 
8.7%
3 878
 
8.6%
4 746
 
7.3%
5 530
 
5.2%
6 432
 
4.2%
7 394
 
3.8%
9 363
 
3.5%
8 363
 
3.5%
Other values (18) 147
 
1.4%
Distinct998
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size63.1 KiB
2023-12-09T20:43:10.854436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length123
Median length7
Mean length7.455
Min length7

Characters and Unicode

Total characters7455
Distinct characters34
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique996 ?
Unique (%)99.6%

Sample

1st row1022631
2nd row1037545
3rd row1022667
4th row1037596
5th row1085682
ValueCountFrequency (%)
4437597 2
 
0.2%
available 2
 
0.2%
not 2
 
0.2%
4270059 1
 
0.1%
3051540 1
 
0.1%
3021057 1
 
0.1%
1051497 1
 
0.1%
4462647 1
 
0.1%
1030343 1
 
0.1%
2007902 1
 
0.1%
Other values (1020) 1020
98.7%
2023-12-09T20:43:11.387441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1334
17.9%
1 981
13.2%
3 857
11.5%
4 826
11.1%
2 704
9.4%
5 587
7.9%
7 529
 
7.1%
8 517
 
6.9%
6 515
 
6.9%
9 450
 
6.0%
Other values (24) 155
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7300
97.9%
Other Punctuation 37
 
0.5%
Lowercase Letter 35
 
0.5%
Space Separator 33
 
0.4%
Uppercase Letter 27
 
0.4%
Dash Punctuation 23
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 6
17.1%
l 5
14.3%
i 4
11.4%
o 3
8.6%
d 3
8.6%
b 3
8.6%
t 3
8.6%
n 2
 
5.7%
v 2
 
5.7%
e 2
 
5.7%
Other values (2) 2
 
5.7%
Decimal Number
ValueCountFrequency (%)
0 1334
18.3%
1 981
13.4%
3 857
11.7%
4 826
11.3%
2 704
9.6%
5 587
8.0%
7 529
 
7.2%
8 517
 
7.1%
6 515
 
7.1%
9 450
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
X 7
25.9%
K 6
22.2%
Q 6
22.2%
M 2
 
7.4%
N 2
 
7.4%
A 2
 
7.4%
R 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
; 24
64.9%
, 11
29.7%
: 2
 
5.4%
Space Separator
ValueCountFrequency (%)
33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7393
99.2%
Latin 62
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 7
11.3%
K 6
 
9.7%
a 6
 
9.7%
Q 6
 
9.7%
l 5
 
8.1%
i 4
 
6.5%
o 3
 
4.8%
d 3
 
4.8%
b 3
 
4.8%
t 3
 
4.8%
Other values (9) 16
25.8%
Common
ValueCountFrequency (%)
0 1334
18.0%
1 981
13.3%
3 857
11.6%
4 826
11.2%
2 704
9.5%
5 587
7.9%
7 529
 
7.2%
8 517
 
7.0%
6 515
 
7.0%
9 450
 
6.1%
Other values (5) 93
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7455
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1334
17.9%
1 981
13.2%
3 857
11.5%
4 826
11.1%
2 704
9.4%
5 587
7.9%
7 529
 
7.1%
8 517
 
6.9%
6 515
 
6.9%
9 450
 
6.0%
Other values (24) 155
 
2.1%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size73.9 KiB
2023-12-09T20:43:11.867037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length27
Mean length18.506
Min length11

Characters and Unicode

Total characters18506
Distinct characters65
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st row1155 Avenue of the Americas
2nd row200 East 42nd St.
3rd row114 West 47th st
4th row733 Third Avenue
5th row4 Times Square
ValueCountFrequency (%)
avenue 443
 
13.7%
street 388
 
12.0%
east 96
 
3.0%
west 72
 
2.2%
road 32
 
1.0%
boulevard 30
 
0.9%
place 21
 
0.7%
park 18
 
0.6%
ave 17
 
0.5%
madison 15
 
0.5%
Other values (1344) 2097
64.9%
2023-12-09T20:43:12.499178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2252
 
12.2%
2244
 
12.1%
t 1506
 
8.1%
1 886
 
4.8%
n 835
 
4.5%
r 834
 
4.5%
0 684
 
3.7%
a 585
 
3.2%
u 564
 
3.0%
v 523
 
2.8%
Other values (55) 7593
41.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9818
53.1%
Decimal Number 4295
23.2%
Space Separator 2244
 
12.1%
Uppercase Letter 1914
 
10.3%
Dash Punctuation 226
 
1.2%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2252
22.9%
t 1506
15.3%
n 835
 
8.5%
r 834
 
8.5%
a 585
 
6.0%
u 564
 
5.7%
v 523
 
5.3%
o 411
 
4.2%
s 403
 
4.1%
h 382
 
3.9%
Other values (16) 1523
15.5%
Uppercase Letter
ValueCountFrequency (%)
A 502
26.2%
S 450
23.5%
E 136
 
7.1%
W 113
 
5.9%
B 101
 
5.3%
P 93
 
4.9%
R 62
 
3.2%
H 57
 
3.0%
M 55
 
2.9%
C 47
 
2.5%
Other values (15) 298
15.6%
Decimal Number
ValueCountFrequency (%)
1 886
20.6%
0 684
15.9%
5 516
12.0%
2 515
12.0%
3 365
8.5%
4 331
 
7.7%
7 280
 
6.5%
6 261
 
6.1%
8 246
 
5.7%
9 211
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 8
88.9%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11732
63.4%
Common 6774
36.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2252
19.2%
t 1506
12.8%
n 835
 
7.1%
r 834
 
7.1%
a 585
 
5.0%
u 564
 
4.8%
v 523
 
4.5%
A 502
 
4.3%
S 450
 
3.8%
o 411
 
3.5%
Other values (41) 3270
27.9%
Common
ValueCountFrequency (%)
2244
33.1%
1 886
 
13.1%
0 684
 
10.1%
5 516
 
7.6%
2 515
 
7.6%
3 365
 
5.4%
4 331
 
4.9%
7 280
 
4.1%
6 261
 
3.9%
8 246
 
3.6%
Other values (4) 446
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2252
 
12.2%
2244
 
12.1%
t 1506
 
8.1%
1 886
 
4.8%
n 835
 
4.5%
r 834
 
4.5%
0 684
 
3.7%
a 585
 
3.2%
u 564
 
3.0%
v 523
 
2.8%
Other values (55) 7593
41.0%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T20:43:12.769032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length39
Median length13
Mean length13.112
Min length1

Characters and Unicode

Total characters13112
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 979
48.3%
available 979
48.3%
street 12
 
0.6%
avenue 3
 
0.1%
east 2
 
0.1%
boulevard 2
 
0.1%
west 2
 
0.1%
city 2
 
0.1%
island 2
 
0.1%
long 2
 
0.1%
Other values (42) 43
 
2.1%
2023-12-09T20:43:13.188830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1969
15.0%
l 1969
15.0%
1028
7.8%
t 1021
7.8%
e 1019
7.8%
v 987
7.5%
i 987
7.5%
A 985
7.5%
o 985
7.5%
b 980
7.5%
Other values (36) 1182
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9991
76.2%
Uppercase Letter 2001
 
15.3%
Space Separator 1028
 
7.8%
Decimal Number 88
 
0.7%
Dash Punctuation 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1969
19.7%
l 1969
19.7%
t 1021
10.2%
e 1019
10.2%
v 987
9.9%
i 987
9.9%
o 985
9.9%
b 980
9.8%
r 19
 
0.2%
n 14
 
0.1%
Other values (9) 41
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
A 985
49.2%
N 979
48.9%
S 14
 
0.7%
B 5
 
0.2%
C 3
 
0.1%
E 3
 
0.1%
L 3
 
0.1%
W 2
 
0.1%
I 2
 
0.1%
M 1
 
< 0.1%
Other values (4) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 25
28.4%
0 13
14.8%
2 11
12.5%
5 9
 
10.2%
6 6
 
6.8%
4 6
 
6.8%
8 6
 
6.8%
7 5
 
5.7%
3 5
 
5.7%
9 2
 
2.3%
Space Separator
ValueCountFrequency (%)
1028
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11992
91.5%
Common 1120
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1969
16.4%
l 1969
16.4%
t 1021
8.5%
e 1019
8.5%
v 987
8.2%
i 987
8.2%
A 985
8.2%
o 985
8.2%
b 980
8.2%
N 979
8.2%
Other values (23) 111
 
0.9%
Common
ValueCountFrequency (%)
1028
91.8%
1 25
 
2.2%
0 13
 
1.2%
2 11
 
1.0%
5 9
 
0.8%
6 6
 
0.5%
4 6
 
0.5%
8 6
 
0.5%
7 5
 
0.4%
3 5
 
0.4%
Other values (3) 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1969
15.0%
l 1969
15.0%
1028
7.8%
t 1021
7.8%
e 1019
7.8%
v 987
7.5%
i 987
7.5%
A 985
7.5%
o 985
7.5%
b 980
7.5%
Other values (36) 1182
9.0%

city
Text

Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size63.0 KiB
2023-12-09T20:43:13.389702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length8
Mean length7.371
Min length2

Characters and Unicode

Total characters7371
Distinct characters44
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowManhattan
2nd rowManhattan
3rd rowManhattan
4th rowManhattan
5th rowManhattan
ValueCountFrequency (%)
brooklyn 285
21.6%
york 253
19.2%
new 253
19.2%
queens 219
16.6%
bronx 173
13.1%
island 56
 
4.2%
staten 54
 
4.1%
city 7
 
0.5%
manhattan 6
 
0.5%
long 2
 
0.2%
Other values (10) 11
 
0.8%
2023-12-09T20:43:13.718755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 995
13.5%
n 798
10.8%
e 744
 
10.1%
r 708
 
9.6%
k 534
 
7.2%
B 458
 
6.2%
l 340
 
4.6%
319
 
4.3%
y 292
 
4.0%
s 277
 
3.8%
Other values (34) 1906
25.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5664
76.8%
Uppercase Letter 1388
 
18.8%
Space Separator 319
 
4.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 458
33.0%
N 261
18.8%
Y 254
18.3%
Q 219
15.8%
S 58
 
4.2%
I 58
 
4.2%
M 9
 
0.6%
E 9
 
0.6%
L 8
 
0.6%
C 8
 
0.6%
Other values (14) 46
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
o 995
17.6%
n 798
14.1%
e 744
13.1%
r 708
12.5%
k 534
9.4%
l 340
 
6.0%
y 292
 
5.2%
s 277
 
4.9%
w 250
 
4.4%
u 220
 
3.9%
Other values (9) 506
8.9%
Space Separator
ValueCountFrequency (%)
319
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7052
95.7%
Common 319
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 995
14.1%
n 798
11.3%
e 744
10.6%
r 708
10.0%
k 534
 
7.6%
B 458
 
6.5%
l 340
 
4.8%
y 292
 
4.1%
s 277
 
3.9%
N 261
 
3.7%
Other values (33) 1645
23.3%
Common
ValueCountFrequency (%)
319
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 995
13.5%
n 798
10.8%
e 744
 
10.1%
r 708
 
9.6%
k 534
 
7.2%
B 458
 
6.2%
l 340
 
4.6%
319
 
4.3%
y 292
 
4.0%
s 277
 
3.8%
Other values (34) 1906
25.9%

county
Text

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:43:13.913632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.814
Min length3

Characters and Unicode

Total characters12814
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 965
48.8%
available 965
48.8%
manhattan 15
 
0.8%
new 11
 
0.6%
york 11
 
0.6%
usa 5
 
0.3%
queens 3
 
0.2%
united 1
 
0.1%
states 1
 
0.1%
2023-12-09T20:43:14.233732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1976
15.4%
l 1930
15.1%
t 998
7.8%
e 984
7.7%
977
7.6%
N 976
7.6%
o 976
7.6%
A 970
7.6%
i 966
7.5%
v 965
7.5%
Other values (14) 1096
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.9%
Uppercase Letter 1987
 
15.5%
Space Separator 977
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1976
20.1%
l 1930
19.6%
t 998
10.1%
e 984
10.0%
o 976
9.9%
i 966
9.8%
v 965
9.8%
b 965
9.8%
n 34
 
0.3%
h 15
 
0.2%
Other values (6) 41
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 976
49.1%
A 970
48.8%
M 15
 
0.8%
Y 11
 
0.6%
U 6
 
0.3%
S 6
 
0.3%
Q 3
 
0.2%
Space Separator
ValueCountFrequency (%)
977
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11837
92.4%
Common 977
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1976
16.7%
l 1930
16.3%
t 998
8.4%
e 984
8.3%
N 976
8.2%
o 976
8.2%
A 970
8.2%
i 966
8.2%
v 965
8.2%
b 965
8.2%
Other values (13) 131
 
1.1%
Common
ValueCountFrequency (%)
977
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1976
15.4%
l 1930
15.1%
t 998
7.8%
e 984
7.7%
977
7.6%
N 976
7.6%
o 976
7.6%
A 970
7.6%
i 966
7.5%
v 965
7.5%
Other values (14) 1096
8.6%
Distinct184
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:43:14.672900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)3.1%

Sample

1st row10036
2nd row10017
3rd row10036
4th row10017
5th row10036
ValueCountFrequency (%)
10022 26
 
2.6%
11207 20
 
2.0%
10457 18
 
1.8%
10019 18
 
1.8%
10456 16
 
1.6%
11206 16
 
1.6%
11212 16
 
1.6%
11221 16
 
1.6%
10002 16
 
1.6%
10460 14
 
1.4%
Other values (174) 824
82.4%
2023-12-09T20:43:15.286329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1839
36.8%
0 985
19.7%
2 578
 
11.6%
3 421
 
8.4%
4 365
 
7.3%
5 224
 
4.5%
6 220
 
4.4%
7 186
 
3.7%
8 94
 
1.9%
9 88
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1839
36.8%
0 985
19.7%
2 578
 
11.6%
3 421
 
8.4%
4 365
 
7.3%
5 224
 
4.5%
6 220
 
4.4%
7 186
 
3.7%
8 94
 
1.9%
9 88
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 5000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1839
36.8%
0 985
19.7%
2 578
 
11.6%
3 421
 
8.4%
4 365
 
7.3%
5 224
 
4.5%
6 220
 
4.4%
7 186
 
3.7%
8 94
 
1.9%
9 88
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1839
36.8%
0 985
19.7%
2 578
 
11.6%
3 421
 
8.4%
4 365
 
7.3%
5 224
 
4.5%
6 220
 
4.4%
7 186
 
3.7%
8 94
 
1.9%
9 88
 
1.8%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:43:15.544661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.717
Min length5

Characters and Unicode

Total characters10717
Distinct characters42
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
k-12 869
45.4%
school 869
45.4%
office 104
 
5.4%
retail 10
 
0.5%
store 10
 
0.5%
medical 7
 
0.4%
financial 6
 
0.3%
6
 
0.3%
hospital 5
 
0.3%
general 5
 
0.3%
Other values (15) 24
 
1.3%
2023-12-09T20:43:15.909509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1766
16.5%
c 992
9.3%
915
8.5%
l 915
8.5%
S 885
8.3%
h 871
8.1%
- 870
8.1%
K 869
8.1%
1 869
8.1%
2 869
8.1%
Other values (32) 896
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5268
49.2%
Uppercase Letter 1910
 
17.8%
Decimal Number 1738
 
16.2%
Space Separator 915
 
8.5%
Dash Punctuation 870
 
8.1%
Other Punctuation 6
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1766
33.5%
c 992
18.8%
l 915
17.4%
h 871
16.5%
f 210
 
4.0%
i 155
 
2.9%
e 154
 
2.9%
a 52
 
1.0%
t 37
 
0.7%
r 31
 
0.6%
Other values (11) 85
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
S 885
46.3%
K 869
45.5%
O 106
 
5.5%
M 11
 
0.6%
R 10
 
0.5%
H 9
 
0.5%
F 6
 
0.3%
G 5
 
0.3%
C 3
 
0.2%
L 2
 
0.1%
Other values (3) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 869
50.0%
2 869
50.0%
Other Punctuation
ValueCountFrequency (%)
& 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
915
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 870
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7178
67.0%
Common 3539
33.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1766
24.6%
c 992
13.8%
l 915
12.7%
S 885
12.3%
h 871
12.1%
K 869
12.1%
f 210
 
2.9%
i 155
 
2.2%
e 154
 
2.1%
O 106
 
1.5%
Other values (24) 255
 
3.6%
Common
ValueCountFrequency (%)
915
25.9%
- 870
24.6%
1 869
24.6%
2 869
24.6%
) 5
 
0.1%
& 5
 
0.1%
( 5
 
0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10717
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1766
16.5%
c 992
9.3%
915
8.5%
l 915
8.5%
S 885
8.3%
h 871
8.1%
- 870
8.1%
K 869
8.1%
1 869
8.1%
2 869
8.1%
Other values (32) 896
8.4%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size66.2 KiB
2023-12-09T20:43:16.127449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.709
Min length5

Characters and Unicode

Total characters10709
Distinct characters40
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
k-12 869
45.4%
school 869
45.4%
office 104
 
5.4%
retail 10
 
0.5%
store 10
 
0.5%
financial 6
 
0.3%
medical 6
 
0.3%
6
 
0.3%
hospital 5
 
0.3%
general 5
 
0.3%
Other values (14) 26
 
1.4%
2023-12-09T20:43:16.470049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1766
16.5%
c 991
9.3%
916
8.6%
l 912
8.5%
S 885
8.3%
h 871
8.1%
- 870
8.1%
K 869
8.1%
1 869
8.1%
2 869
8.1%
Other values (30) 891
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5260
49.1%
Uppercase Letter 1910
 
17.8%
Decimal Number 1738
 
16.2%
Space Separator 916
 
8.6%
Dash Punctuation 870
 
8.1%
Open Punctuation 5
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1766
33.6%
c 991
18.8%
l 912
17.3%
h 871
16.6%
f 210
 
4.0%
i 153
 
2.9%
e 153
 
2.9%
a 51
 
1.0%
t 37
 
0.7%
r 32
 
0.6%
Other values (10) 84
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
S 885
46.3%
K 869
45.5%
O 106
 
5.5%
M 11
 
0.6%
R 10
 
0.5%
H 9
 
0.5%
F 6
 
0.3%
G 5
 
0.3%
U 2
 
0.1%
P 2
 
0.1%
Other values (3) 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 869
50.0%
2 869
50.0%
Space Separator
ValueCountFrequency (%)
916
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 870
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7170
67.0%
Common 3539
33.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1766
24.6%
c 991
13.8%
l 912
12.7%
S 885
12.3%
h 871
12.1%
K 869
12.1%
f 210
 
2.9%
i 153
 
2.1%
e 153
 
2.1%
O 106
 
1.5%
Other values (23) 254
 
3.5%
Common
ValueCountFrequency (%)
916
25.9%
- 870
24.6%
1 869
24.6%
2 869
24.6%
( 5
 
0.1%
& 5
 
0.1%
) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10709
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1766
16.5%
c 991
9.3%
916
8.6%
l 912
8.5%
S 885
8.3%
h 871
8.1%
- 870
8.1%
K 869
8.1%
1 869
8.1%
2 869
8.1%
Other values (30) 891
8.3%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size92.5 KiB
2023-12-09T20:43:16.666076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length40
Median length39
Mean length37.621
Min length11

Characters and Unicode

Total characters37621
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowCBECS - Office & Bank/Financial
2nd rowCBECS - Office & Bank/Financial
3rd rowCBECS - Office & Bank/Financial
4th rowCBECS - Office & Bank/Financial
5th rowCBECS - Office & Bank/Financial
ValueCountFrequency (%)
1968
33.8%
cbecs 992
17.0%
elementary/middle 869
14.9%
high 869
14.9%
school 869
14.9%
office 104
 
1.8%
bank/financial 103
 
1.8%
retail 10
 
0.2%
store 10
 
0.2%
survey 8
 
0.1%
Other values (13) 27
 
0.5%
2023-12-09T20:43:16.985722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4829
 
12.8%
e 2752
 
7.3%
l 2731
 
7.3%
i 2067
 
5.5%
C 1984
 
5.3%
S 1884
 
5.0%
E 1867
 
5.0%
o 1757
 
4.7%
d 1743
 
4.6%
h 1741
 
4.6%
Other values (27) 14266
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21032
55.9%
Uppercase Letter 8818
23.4%
Space Separator 4829
 
12.8%
Other Punctuation 1948
 
5.2%
Dash Punctuation 994
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2752
13.1%
l 2731
13.0%
i 2067
9.8%
o 1757
8.4%
d 1743
8.3%
h 1741
8.3%
a 1200
 
5.7%
n 1190
 
5.7%
c 1079
 
5.1%
t 904
 
4.3%
Other values (10) 3868
18.4%
Uppercase Letter
ValueCountFrequency (%)
C 1984
22.5%
S 1884
21.4%
E 1867
21.2%
B 1095
12.4%
M 876
9.9%
H 876
9.9%
O 107
 
1.2%
F 105
 
1.2%
R 10
 
0.1%
A 6
 
0.1%
Other values (3) 8
 
0.1%
Other Punctuation
ValueCountFrequency (%)
& 974
50.0%
/ 974
50.0%
Space Separator
ValueCountFrequency (%)
4829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29850
79.3%
Common 7771
 
20.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2752
 
9.2%
l 2731
 
9.1%
i 2067
 
6.9%
C 1984
 
6.6%
S 1884
 
6.3%
E 1867
 
6.3%
o 1757
 
5.9%
d 1743
 
5.8%
h 1741
 
5.8%
a 1200
 
4.0%
Other values (23) 10124
33.9%
Common
ValueCountFrequency (%)
4829
62.1%
- 994
 
12.8%
& 974
 
12.5%
/ 974
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37621
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4829
 
12.8%
e 2752
 
7.3%
l 2731
 
7.3%
i 2067
 
5.5%
C 1984
 
5.3%
S 1884
 
5.0%
E 1867
 
5.0%
o 1757
 
4.7%
d 1743
 
4.6%
h 1741
 
4.6%
Other values (27) 14266
37.9%
Distinct86
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size70.0 KiB
2023-12-09T20:43:17.202351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length157
Median length11
Mean length14.523
Min length5

Characters and Unicode

Total characters14523
Distinct characters50
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)6.8%

Sample

1st rowBank Branch, Office
2nd rowBank Branch, Office, Retail Store
3rd rowFinancial Office
4th rowOffice
5th rowOffice, Retail Store
ValueCountFrequency (%)
k-12 870
36.3%
school 870
36.3%
office 131
 
5.5%
store 53
 
2.2%
retail 47
 
2.0%
restaurant 36
 
1.5%
parking 30
 
1.3%
other 30
 
1.3%
center 26
 
1.1%
data 26
 
1.1%
Other values (59) 276
 
11.5%
2023-12-09T20:43:17.612672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1935
13.3%
1395
 
9.6%
c 1084
 
7.5%
l 1034
 
7.1%
S 977
 
6.7%
h 931
 
6.4%
- 879
 
6.1%
K 870
 
6.0%
1 870
 
6.0%
2 870
 
6.0%
Other values (40) 3678
25.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7811
53.8%
Uppercase Letter 2394
 
16.5%
Decimal Number 1740
 
12.0%
Space Separator 1395
 
9.6%
Dash Punctuation 879
 
6.1%
Other Punctuation 290
 
2.0%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1935
24.8%
c 1084
13.9%
l 1034
13.2%
h 931
11.9%
e 470
 
6.0%
i 386
 
4.9%
a 376
 
4.8%
t 338
 
4.3%
f 269
 
3.4%
n 260
 
3.3%
Other values (12) 728
 
9.3%
Uppercase Letter
ValueCountFrequency (%)
S 977
40.8%
K 870
36.3%
O 161
 
6.7%
R 89
 
3.7%
P 62
 
2.6%
F 57
 
2.4%
B 44
 
1.8%
C 41
 
1.7%
D 29
 
1.2%
H 19
 
0.8%
Other values (8) 45
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 267
92.1%
/ 16
 
5.5%
& 5
 
1.7%
. 2
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 870
50.0%
2 870
50.0%
Space Separator
ValueCountFrequency (%)
1395
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 879
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10205
70.3%
Common 4318
29.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1935
19.0%
c 1084
10.6%
l 1034
10.1%
S 977
9.6%
h 931
9.1%
K 870
8.5%
e 470
 
4.6%
i 386
 
3.8%
a 376
 
3.7%
t 338
 
3.3%
Other values (30) 1804
17.7%
Common
ValueCountFrequency (%)
1395
32.3%
- 879
20.4%
1 870
20.1%
2 870
20.1%
, 267
 
6.2%
/ 16
 
0.4%
) 7
 
0.2%
( 7
 
0.2%
& 5
 
0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1935
13.3%
1395
 
9.6%
c 1084
 
7.5%
l 1034
 
7.1%
S 977
 
6.7%
h 931
 
6.4%
- 879
 
6.1%
K 870
 
6.0%
1 870
 
6.0%
2 870
 
6.0%
Other values (40) 3678
25.3%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size66.2 KiB
2023-12-09T20:43:17.809750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.693
Min length5

Characters and Unicode

Total characters10693
Distinct characters37
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
k-12 869
45.4%
school 869
45.4%
office 106
 
5.5%
retail 10
 
0.5%
store 10
 
0.5%
medical 7
 
0.4%
financial 6
 
0.3%
6
 
0.3%
surgical 5
 
0.3%
general 5
 
0.3%
Other values (11) 20
 
1.0%
2023-12-09T20:43:18.147115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1764
16.5%
c 994
9.3%
913
8.5%
l 913
8.5%
S 885
8.3%
h 871
8.1%
- 870
8.1%
K 869
8.1%
1 869
8.1%
2 869
8.1%
Other values (27) 876
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5250
49.1%
Uppercase Letter 1907
 
17.8%
Decimal Number 1738
 
16.3%
Space Separator 913
 
8.5%
Dash Punctuation 870
 
8.1%
Other Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1764
33.6%
c 994
18.9%
l 913
17.4%
h 871
16.6%
f 214
 
4.1%
i 154
 
2.9%
e 150
 
2.9%
a 52
 
1.0%
t 35
 
0.7%
r 28
 
0.5%
Other values (9) 75
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 885
46.4%
K 869
45.6%
O 108
 
5.7%
M 10
 
0.5%
R 10
 
0.5%
H 9
 
0.5%
F 6
 
0.3%
G 5
 
0.3%
L 2
 
0.1%
C 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 869
50.0%
2 869
50.0%
Space Separator
ValueCountFrequency (%)
913
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 870
100.0%
Other Punctuation
ValueCountFrequency (%)
& 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7157
66.9%
Common 3536
33.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1764
24.6%
c 994
13.9%
l 913
12.8%
S 885
12.4%
h 871
12.2%
K 869
12.1%
f 214
 
3.0%
i 154
 
2.2%
e 150
 
2.1%
O 108
 
1.5%
Other values (20) 235
 
3.3%
Common
ValueCountFrequency (%)
913
25.8%
- 870
24.6%
1 869
24.6%
2 869
24.6%
& 5
 
0.1%
( 5
 
0.1%
) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1764
16.5%
c 994
9.3%
913
8.5%
l 913
8.5%
S 885
8.3%
h 871
8.1%
- 870
8.1%
K 869
8.1%
1 869
8.1%
2 869
8.1%
Other values (27) 876
8.2%
Distinct714
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T20:43:18.567424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length6
Mean length5.698
Min length4

Characters and Unicode

Total characters5698
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)56.0%

Sample

1st row680478.9
2nd row366528
3rd row577534
4th row393087.2
5th row1539113
ValueCountFrequency (%)
106800 9
 
0.9%
96000 8
 
0.8%
110400 8
 
0.8%
109200 7
 
0.7%
122400 7
 
0.7%
93600 6
 
0.6%
112800 6
 
0.6%
91200 6
 
0.6%
104400 5
 
0.5%
99600 5
 
0.5%
Other values (704) 933
93.3%
2023-12-09T20:43:19.122601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1497
26.3%
1 812
14.3%
2 545
 
9.6%
8 511
 
9.0%
5 477
 
8.4%
6 451
 
7.9%
4 374
 
6.6%
7 361
 
6.3%
9 338
 
5.9%
3 326
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5692
99.9%
Other Punctuation 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1497
26.3%
1 812
14.3%
2 545
 
9.6%
8 511
 
9.0%
5 477
 
8.4%
6 451
 
7.9%
4 374
 
6.6%
7 361
 
6.3%
9 338
 
5.9%
3 326
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5698
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1497
26.3%
1 812
14.3%
2 545
 
9.6%
8 511
 
9.0%
5 477
 
8.4%
6 451
 
7.9%
4 374
 
6.6%
7 361
 
6.3%
9 338
 
5.9%
3 326
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5698
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1497
26.3%
1 812
14.3%
2 545
 
9.6%
8 511
 
9.0%
5 477
 
8.4%
6 451
 
7.9%
4 374
 
6.6%
7 361
 
6.3%
9 338
 
5.9%
3 326
 
5.7%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:43:19.372917image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length12.827
Min length5

Characters and Unicode

Total characters12827
Distinct characters40
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowBank Branch
2nd rowRetail Store
3rd rowNot Available
4th rowNot Available
5th rowRetail Store
ValueCountFrequency (%)
not 874
44.4%
available 874
44.4%
swimming 25
 
1.3%
pool 25
 
1.3%
store 25
 
1.3%
retail 24
 
1.2%
parking 17
 
0.9%
office 17
 
0.9%
other 11
 
0.6%
financial 10
 
0.5%
Other values (28) 67
 
3.4%
2023-12-09T20:43:19.746491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1868
14.6%
l 1821
14.2%
i 1021
8.0%
e 997
7.8%
t 982
7.7%
969
7.6%
o 962
7.5%
v 878
6.8%
b 878
6.8%
A 876
6.8%
Other values (30) 1575
12.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9882
77.0%
Uppercase Letter 1969
 
15.4%
Space Separator 969
 
7.6%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1868
18.9%
l 1821
18.4%
i 1021
10.3%
e 997
10.1%
t 982
9.9%
o 962
9.7%
v 878
8.9%
b 878
8.9%
n 104
 
1.1%
r 87
 
0.9%
Other values (11) 284
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 876
44.5%
N 874
44.4%
S 54
 
2.7%
P 45
 
2.3%
R 32
 
1.6%
O 28
 
1.4%
B 15
 
0.8%
F 13
 
0.7%
C 11
 
0.6%
D 9
 
0.5%
Other values (6) 12
 
0.6%
Space Separator
ValueCountFrequency (%)
969
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11851
92.4%
Common 976
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1868
15.8%
l 1821
15.4%
i 1021
8.6%
e 997
8.4%
t 982
8.3%
o 962
8.1%
v 878
7.4%
b 878
7.4%
A 876
7.4%
N 874
7.4%
Other values (27) 694
 
5.9%
Common
ValueCountFrequency (%)
969
99.3%
/ 4
 
0.4%
- 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1868
14.6%
l 1821
14.2%
i 1021
8.0%
e 997
7.8%
t 982
7.7%
969
7.6%
o 962
7.5%
v 878
6.8%
b 878
6.8%
A 876
6.8%
Other values (30) 1575
12.3%
Distinct101
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:43:20.108420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.887
Min length1

Characters and Unicode

Total characters11887
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)9.9%

Sample

1st row5227
2nd row15789
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 874
46.6%
available 874
46.6%
0 27
 
1.4%
85652 1
 
0.1%
25369 1
 
0.1%
42925 1
 
0.1%
42674 1
 
0.1%
8270 1
 
0.1%
26555 1
 
0.1%
200000 1
 
0.1%
Other values (92) 92
 
4.9%
2023-12-09T20:43:20.601161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1748
14.7%
l 1748
14.7%
N 874
7.4%
o 874
7.4%
t 874
7.4%
874
7.4%
A 874
7.4%
v 874
7.4%
i 874
7.4%
b 874
7.4%
Other values (12) 1399
11.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8740
73.5%
Uppercase Letter 1748
 
14.7%
Space Separator 874
 
7.4%
Decimal Number 523
 
4.4%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 96
18.4%
1 71
13.6%
2 57
10.9%
3 49
9.4%
6 47
9.0%
9 46
8.8%
5 43
8.2%
8 40
7.6%
4 38
 
7.3%
7 36
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
a 1748
20.0%
l 1748
20.0%
o 874
10.0%
t 874
10.0%
v 874
10.0%
i 874
10.0%
b 874
10.0%
e 874
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 874
50.0%
A 874
50.0%
Space Separator
ValueCountFrequency (%)
874
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10488
88.2%
Common 1399
 
11.8%

Most frequent character per script

Common
ValueCountFrequency (%)
874
62.5%
0 96
 
6.9%
1 71
 
5.1%
2 57
 
4.1%
3 49
 
3.5%
6 47
 
3.4%
9 46
 
3.3%
5 43
 
3.1%
8 40
 
2.9%
4 38
 
2.7%
Other values (2) 38
 
2.7%
Latin
ValueCountFrequency (%)
a 1748
16.7%
l 1748
16.7%
N 874
8.3%
o 874
8.3%
t 874
8.3%
A 874
8.3%
v 874
8.3%
i 874
8.3%
b 874
8.3%
e 874
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1748
14.7%
l 1748
14.7%
N 874
7.4%
o 874
7.4%
t 874
7.4%
874
7.4%
A 874
7.4%
v 874
7.4%
i 874
7.4%
b 874
7.4%
Other values (12) 1399
11.8%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:43:20.853712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length12.925
Min length5

Characters and Unicode

Total characters12925
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowBank Branch
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 933
47.1%
available 933
47.1%
other 12
 
0.6%
restaurant 10
 
0.5%
data 8
 
0.4%
center 8
 
0.4%
bank 8
 
0.4%
branch 8
 
0.4%
parking 8
 
0.4%
store 7
 
0.4%
Other values (24) 46
 
2.3%
2023-12-09T20:43:21.234815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1955
15.1%
l 1888
14.6%
e 1017
7.9%
t 1010
7.8%
981
7.6%
i 976
7.6%
o 960
7.4%
v 937
7.2%
b 936
7.2%
A 936
7.2%
Other values (29) 1329
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9954
77.0%
Uppercase Letter 1983
 
15.3%
Space Separator 981
 
7.6%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1955
19.6%
l 1888
19.0%
e 1017
10.2%
t 1010
10.1%
i 976
9.8%
o 960
9.6%
v 937
9.4%
b 936
9.4%
r 66
 
0.7%
n 65
 
0.7%
Other values (12) 144
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
A 936
47.2%
N 934
47.1%
R 19
 
1.0%
B 18
 
0.9%
O 18
 
0.9%
S 12
 
0.6%
F 12
 
0.6%
C 10
 
0.5%
P 9
 
0.5%
D 9
 
0.5%
Other values (4) 6
 
0.3%
Space Separator
ValueCountFrequency (%)
981
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11937
92.4%
Common 988
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1955
16.4%
l 1888
15.8%
e 1017
8.5%
t 1010
8.5%
i 976
8.2%
o 960
8.0%
v 937
7.8%
b 936
7.8%
A 936
7.8%
N 934
7.8%
Other values (26) 388
 
3.3%
Common
ValueCountFrequency (%)
981
99.3%
/ 4
 
0.4%
- 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1955
15.1%
l 1888
14.6%
e 1017
7.9%
t 1010
7.8%
981
7.6%
i 976
7.6%
o 960
7.4%
v 937
7.2%
b 936
7.2%
A 936
7.2%
Other values (29) 1329
10.3%
Distinct66
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:43:21.542742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.432
Min length1

Characters and Unicode

Total characters12432
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)6.4%

Sample

1st rowNot Available
2nd row2115
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 933
48.3%
available 933
48.3%
0 3
 
0.2%
12967 1
 
0.1%
6320 1
 
0.1%
5484 1
 
0.1%
32868 1
 
0.1%
10088 1
 
0.1%
1440 1
 
0.1%
12093 1
 
0.1%
Other values (57) 57
 
2.9%
2023-12-09T20:43:21.966547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1866
15.0%
l 1866
15.0%
N 933
7.5%
o 933
7.5%
t 933
7.5%
933
7.5%
A 933
7.5%
v 933
7.5%
i 933
7.5%
b 933
7.5%
Other values (12) 1236
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9330
75.0%
Uppercase Letter 1866
 
15.0%
Space Separator 933
 
7.5%
Decimal Number 302
 
2.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
24.8%
1 47
15.6%
8 28
 
9.3%
4 28
 
9.3%
3 27
 
8.9%
2 26
 
8.6%
6 22
 
7.3%
7 19
 
6.3%
5 17
 
5.6%
9 13
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1866
20.0%
l 1866
20.0%
o 933
10.0%
t 933
10.0%
v 933
10.0%
i 933
10.0%
b 933
10.0%
e 933
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 933
50.0%
A 933
50.0%
Space Separator
ValueCountFrequency (%)
933
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11196
90.1%
Common 1236
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
933
75.5%
0 75
 
6.1%
1 47
 
3.8%
8 28
 
2.3%
4 28
 
2.3%
3 27
 
2.2%
2 26
 
2.1%
6 22
 
1.8%
7 19
 
1.5%
5 17
 
1.4%
Other values (2) 14
 
1.1%
Latin
ValueCountFrequency (%)
a 1866
16.7%
l 1866
16.7%
N 933
8.3%
o 933
8.3%
t 933
8.3%
A 933
8.3%
v 933
8.3%
i 933
8.3%
b 933
8.3%
e 933
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1866
15.0%
l 1866
15.0%
N 933
7.5%
o 933
7.5%
t 933
7.5%
933
7.5%
A 933
7.5%
v 933
7.5%
i 933
7.5%
b 933
7.5%
Other values (12) 1236
9.9%
Distinct111
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:43:22.283793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row1982
2nd row1956
3rd row1989
4th row1961
5th row1999
ValueCountFrequency (%)
1931 83
 
8.3%
1930 42
 
4.2%
1925 30
 
3.0%
1957 25
 
2.5%
1960 24
 
2.4%
1965 23
 
2.3%
1964 23
 
2.3%
1966 23
 
2.3%
1920 21
 
2.1%
1950 21
 
2.1%
Other values (101) 685
68.5%
2023-12-09T20:43:22.708413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1160
29.0%
9 1087
27.2%
0 322
 
8.1%
6 260
 
6.5%
5 257
 
6.4%
2 249
 
6.2%
3 238
 
5.9%
7 151
 
3.8%
4 148
 
3.7%
8 128
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1160
29.0%
9 1087
27.2%
0 322
 
8.1%
6 260
 
6.5%
5 257
 
6.4%
2 249
 
6.2%
3 238
 
5.9%
7 151
 
3.8%
4 148
 
3.7%
8 128
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1160
29.0%
9 1087
27.2%
0 322
 
8.1%
6 260
 
6.5%
5 257
 
6.4%
2 249
 
6.2%
3 238
 
5.9%
7 151
 
3.8%
4 148
 
3.7%
8 128
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1160
29.0%
9 1087
27.2%
0 322
 
8.1%
6 260
 
6.5%
5 257
 
6.4%
2 249
 
6.2%
3 238
 
5.9%
7 151
 
3.8%
4 148
 
3.7%
8 128
 
3.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:43:22.833465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.002
Min length1

Characters and Unicode

Total characters1002
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 975
97.5%
2 15
 
1.5%
0 6
 
0.6%
12 2
 
0.2%
5 2
 
0.2%
2023-12-09T20:43:23.059996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 977
97.5%
2 17
 
1.7%
0 6
 
0.6%
5 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1002
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 977
97.5%
2 17
 
1.7%
0 6
 
0.6%
5 2
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1002
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 977
97.5%
2 17
 
1.7%
0 6
 
0.6%
5 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 977
97.5%
2 17
 
1.7%
0 6
 
0.6%
5 2
 
0.2%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T20:43:23.188807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.973
Min length2

Characters and Unicode

Total characters2973
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row40
2nd row100
3rd row95
4th row100
5th row100
ValueCountFrequency (%)
100 973
97.3%
95 8
 
0.8%
85 6
 
0.6%
90 6
 
0.6%
80 4
 
0.4%
40 1
 
0.1%
75 1
 
0.1%
60 1
 
0.1%
2023-12-09T20:43:23.436417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1958
65.9%
1 973
32.7%
5 15
 
0.5%
9 14
 
0.5%
8 10
 
0.3%
4 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1958
65.9%
1 973
32.7%
5 15
 
0.5%
9 14
 
0.5%
8 10
 
0.3%
4 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1958
65.9%
1 973
32.7%
5 15
 
0.5%
9 14
 
0.5%
8 10
 
0.3%
4 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1958
65.9%
1 973
32.7%
5 15
 
0.5%
9 14
 
0.5%
8 10
 
0.3%
4 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%

metered_areas_energy
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
2023-12-09T20:43:23.602209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14000
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWhole Building
2nd rowWhole Building
3rd rowWhole Building
4th rowWhole Building
5th rowWhole Building
ValueCountFrequency (%)
whole 1000
50.0%
building 1000
50.0%
2023-12-09T20:43:23.879037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2000
14.3%
i 2000
14.3%
W 1000
7.1%
h 1000
7.1%
o 1000
7.1%
e 1000
7.1%
1000
7.1%
B 1000
7.1%
u 1000
7.1%
d 1000
7.1%
Other values (2) 2000
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11000
78.6%
Uppercase Letter 2000
 
14.3%
Space Separator 1000
 
7.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2000
18.2%
i 2000
18.2%
h 1000
9.1%
o 1000
9.1%
e 1000
9.1%
u 1000
9.1%
d 1000
9.1%
n 1000
9.1%
g 1000
9.1%
Uppercase Letter
ValueCountFrequency (%)
W 1000
50.0%
B 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13000
92.9%
Common 1000
 
7.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2000
15.4%
i 2000
15.4%
W 1000
7.7%
h 1000
7.7%
o 1000
7.7%
e 1000
7.7%
B 1000
7.7%
u 1000
7.7%
d 1000
7.7%
n 1000
7.7%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2000
14.3%
i 2000
14.3%
W 1000
7.1%
h 1000
7.1%
o 1000
7.1%
e 1000
7.1%
1000
7.1%
B 1000
7.1%
u 1000
7.1%
d 1000
7.1%
Other values (2) 2000
14.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T20:43:24.053800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length13
Mean length13.098
Min length13

Characters and Unicode

Total characters13098
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowWhole Building
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 902
45.1%
available 902
45.1%
whole 98
 
4.9%
building 98
 
4.9%
2023-12-09T20:43:24.342013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2000
15.3%
a 1804
13.8%
i 1098
8.4%
e 1000
7.6%
1000
7.6%
o 1000
7.6%
N 902
6.9%
b 902
6.9%
v 902
6.9%
A 902
6.9%
Other values (8) 1588
12.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10098
77.1%
Uppercase Letter 2000
 
15.3%
Space Separator 1000
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2000
19.8%
a 1804
17.9%
i 1098
10.9%
e 1000
9.9%
o 1000
9.9%
b 902
8.9%
v 902
8.9%
t 902
8.9%
h 98
 
1.0%
u 98
 
1.0%
Other values (3) 294
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 902
45.1%
A 902
45.1%
W 98
 
4.9%
B 98
 
4.9%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12098
92.4%
Common 1000
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2000
16.5%
a 1804
14.9%
i 1098
9.1%
e 1000
8.3%
o 1000
8.3%
N 902
7.5%
b 902
7.5%
v 902
7.5%
A 902
7.5%
t 902
7.5%
Other values (7) 686
 
5.7%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13098
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2000
15.3%
a 1804
13.8%
i 1098
8.4%
e 1000
7.6%
1000
7.6%
o 1000
7.6%
N 902
6.9%
b 902
6.9%
v 902
6.9%
A 902
6.9%
Other values (8) 1588
12.1%
Distinct98
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size58.0 KiB
2023-12-09T20:43:24.667606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.229
Min length1

Characters and Unicode

Total characters2229
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row79
2nd row62
3rd row66
4th row64
5th row42
ValueCountFrequency (%)
68 28
 
2.7%
62 24
 
2.3%
63 24
 
2.3%
77 23
 
2.3%
69 22
 
2.2%
not 22
 
2.2%
available 22
 
2.2%
65 21
 
2.1%
67 19
 
1.9%
70 19
 
1.9%
Other values (89) 798
78.1%
2023-12-09T20:43:25.117035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 289
13.0%
7 270
12.1%
5 258
11.6%
8 232
10.4%
4 200
9.0%
3 166
7.4%
9 152
6.8%
2 149
6.7%
1 125
5.6%
0 102
 
4.6%
Other values (11) 286
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1943
87.2%
Lowercase Letter 220
 
9.9%
Uppercase Letter 44
 
2.0%
Space Separator 22
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 289
14.9%
7 270
13.9%
5 258
13.3%
8 232
11.9%
4 200
10.3%
3 166
8.5%
9 152
7.8%
2 149
7.7%
1 125
6.4%
0 102
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
a 44
20.0%
l 44
20.0%
t 22
10.0%
v 22
10.0%
i 22
10.0%
b 22
10.0%
e 22
10.0%
o 22
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 22
50.0%
A 22
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1965
88.2%
Latin 264
 
11.8%

Most frequent character per script

Common
ValueCountFrequency (%)
6 289
14.7%
7 270
13.7%
5 258
13.1%
8 232
11.8%
4 200
10.2%
3 166
8.4%
9 152
7.7%
2 149
7.6%
1 125
6.4%
0 102
 
5.2%
Latin
ValueCountFrequency (%)
a 44
16.7%
l 44
16.7%
t 22
8.3%
v 22
8.3%
i 22
8.3%
b 22
8.3%
e 22
8.3%
o 22
8.3%
N 22
8.3%
A 22
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 289
13.0%
7 270
12.1%
5 258
11.6%
8 232
10.4%
4 200
9.0%
3 166
7.4%
9 152
6.8%
2 149
6.7%
1 125
5.6%
0 102
 
4.6%
Other values (11) 286
12.8%
Distinct68
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size69.8 KiB
2023-12-09T20:43:25.331032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length94
Median length13
Mean length14.356
Min length4

Characters and Unicode

Total characters14356
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)5.5%

Sample

1st row2017, 2015, 2010, 2008, 2006, 2005, 2003, 2002, 2001
2nd row2018, 2017, 2015, 2010, 2008, 2001
3rd row2018, 2016, 2015, 2010, 2008, 2006, 2005, 2003, 2002, 2001
4th row2018, 2017, 2015, 2010, 2008, 2006, 2005, 2003, 2001
5th row2010, 2008, 2006, 2005, 2003, 2002, 2001
ValueCountFrequency (%)
not 912
40.2%
available 912
40.2%
2018 64
 
2.8%
2017 53
 
2.3%
2016 52
 
2.3%
2015 44
 
1.9%
2010 33
 
1.5%
2013 31
 
1.4%
2014 30
 
1.3%
2012 30
 
1.3%
Other values (11) 109
 
4.8%
2023-12-09T20:43:25.650056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1824
12.7%
l 1824
12.7%
1270
8.8%
N 912
 
6.4%
t 912
 
6.4%
A 912
 
6.4%
v 912
 
6.4%
i 912
 
6.4%
b 912
 
6.4%
e 912
 
6.4%
Other values (12) 3054
21.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9120
63.5%
Uppercase Letter 1824
 
12.7%
Decimal Number 1784
 
12.4%
Space Separator 1270
 
8.8%
Other Punctuation 358
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 561
31.4%
2 480
26.9%
1 398
22.3%
8 91
 
5.1%
6 59
 
3.3%
7 57
 
3.2%
5 50
 
2.8%
3 36
 
2.0%
4 31
 
1.7%
9 21
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 1824
20.0%
l 1824
20.0%
t 912
10.0%
v 912
10.0%
i 912
10.0%
b 912
10.0%
e 912
10.0%
o 912
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 912
50.0%
A 912
50.0%
Space Separator
ValueCountFrequency (%)
1270
100.0%
Other Punctuation
ValueCountFrequency (%)
, 358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10944
76.2%
Common 3412
 
23.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1270
37.2%
0 561
16.4%
2 480
 
14.1%
1 398
 
11.7%
, 358
 
10.5%
8 91
 
2.7%
6 59
 
1.7%
7 57
 
1.7%
5 50
 
1.5%
3 36
 
1.1%
Other values (2) 52
 
1.5%
Latin
ValueCountFrequency (%)
a 1824
16.7%
l 1824
16.7%
N 912
8.3%
t 912
8.3%
A 912
8.3%
v 912
8.3%
i 912
8.3%
b 912
8.3%
e 912
8.3%
o 912
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1824
12.7%
l 1824
12.7%
1270
8.8%
N 912
 
6.4%
t 912
 
6.4%
A 912
 
6.4%
v 912
 
6.4%
i 912
 
6.4%
b 912
 
6.4%
e 912
 
6.4%
Other values (12) 3054
21.3%
Distinct63
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:43:25.952973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.736
Min length10

Characters and Unicode

Total characters12736
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)4.9%

Sample

1st row10/04/2017
2nd row07/02/2018
3rd row05/02/2018
4th row05/02/2018
5th row03/22/2011
ValueCountFrequency (%)
not 912
47.7%
available 912
47.7%
08/09/2018 6
 
0.3%
07/16/2018 4
 
0.2%
08/01/2018 3
 
0.2%
08/14/2018 3
 
0.2%
07/18/2018 3
 
0.2%
07/10/2018 3
 
0.2%
07/30/2018 3
 
0.2%
08/08/2018 3
 
0.2%
Other values (54) 60
 
3.1%
2023-12-09T20:43:26.393884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1824
14.3%
l 1824
14.3%
N 912
7.2%
o 912
7.2%
t 912
7.2%
912
7.2%
A 912
7.2%
v 912
7.2%
i 912
7.2%
b 912
7.2%
Other values (12) 1792
14.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9120
71.6%
Uppercase Letter 1824
 
14.3%
Space Separator 912
 
7.2%
Decimal Number 704
 
5.5%
Other Punctuation 176
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 215
30.5%
1 141
20.0%
2 128
18.2%
8 103
14.6%
7 45
 
6.4%
3 19
 
2.7%
9 15
 
2.1%
4 15
 
2.1%
6 14
 
2.0%
5 9
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1824
20.0%
l 1824
20.0%
o 912
10.0%
t 912
10.0%
v 912
10.0%
i 912
10.0%
b 912
10.0%
e 912
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 912
50.0%
A 912
50.0%
Space Separator
ValueCountFrequency (%)
912
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10944
85.9%
Common 1792
 
14.1%

Most frequent character per script

Common
ValueCountFrequency (%)
912
50.9%
0 215
 
12.0%
/ 176
 
9.8%
1 141
 
7.9%
2 128
 
7.1%
8 103
 
5.7%
7 45
 
2.5%
3 19
 
1.1%
9 15
 
0.8%
4 15
 
0.8%
Other values (2) 23
 
1.3%
Latin
ValueCountFrequency (%)
a 1824
16.7%
l 1824
16.7%
N 912
8.3%
o 912
8.3%
t 912
8.3%
A 912
8.3%
v 912
8.3%
i 912
8.3%
b 912
8.3%
e 912
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1824
14.3%
l 1824
14.3%
N 912
7.2%
o 912
7.2%
t 912
7.2%
912
7.2%
A 912
7.2%
v 912
7.2%
i 912
7.2%
b 912
7.2%
Other values (12) 1792
14.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:43:26.526301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.022
Min length2

Characters and Unicode

Total characters2022
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 998
99.6%
not 2
 
0.2%
available 2
 
0.2%
2023-12-09T20:43:26.755098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1000
49.5%
o 1000
49.5%
a 4
 
0.2%
l 4
 
0.2%
t 2
 
0.1%
2
 
0.1%
A 2
 
0.1%
v 2
 
0.1%
i 2
 
0.1%
b 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1018
50.3%
Uppercase Letter 1002
49.6%
Space Separator 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1000
98.2%
a 4
 
0.4%
l 4
 
0.4%
t 2
 
0.2%
v 2
 
0.2%
i 2
 
0.2%
b 2
 
0.2%
e 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 1000
99.8%
A 2
 
0.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2020
99.9%
Common 2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1000
49.5%
o 1000
49.5%
a 4
 
0.2%
l 4
 
0.2%
t 2
 
0.1%
A 2
 
0.1%
v 2
 
0.1%
i 2
 
0.1%
b 2
 
0.1%
e 2
 
0.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2022
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1000
49.5%
o 1000
49.5%
a 4
 
0.2%
l 4
 
0.2%
t 2
 
0.1%
2
 
0.1%
A 2
 
0.1%
v 2
 
0.1%
i 2
 
0.1%
b 2
 
0.1%
Distinct536
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:43:27.285976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length3.988
Min length2

Characters and Unicode

Total characters3988
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique280 ?
Unique (%)28.0%

Sample

1st row45.7
2nd row101
3rd row70.3
4th row97.1
5th row100.4
ValueCountFrequency (%)
not 11
 
1.1%
available 11
 
1.1%
69.5 7
 
0.7%
55 6
 
0.6%
67.3 6
 
0.6%
69.2 5
 
0.5%
65.8 5
 
0.5%
76.5 5
 
0.5%
60.2 5
 
0.5%
61.4 5
 
0.5%
Other values (527) 945
93.5%
2023-12-09T20:43:27.945302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 888
22.3%
6 442
11.1%
7 398
10.0%
5 370
9.3%
8 319
 
8.0%
1 299
 
7.5%
4 277
 
6.9%
2 242
 
6.1%
3 241
 
6.0%
9 239
 
6.0%
Other values (12) 273
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2957
74.1%
Other Punctuation 888
 
22.3%
Lowercase Letter 110
 
2.8%
Uppercase Letter 22
 
0.6%
Space Separator 11
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 442
14.9%
7 398
13.5%
5 370
12.5%
8 319
10.8%
1 299
10.1%
4 277
9.4%
2 242
8.2%
3 241
8.2%
9 239
8.1%
0 130
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
l 22
20.0%
a 22
20.0%
o 11
10.0%
e 11
10.0%
b 11
10.0%
i 11
10.0%
v 11
10.0%
t 11
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 11
50.0%
N 11
50.0%
Other Punctuation
ValueCountFrequency (%)
. 888
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3856
96.7%
Latin 132
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 888
23.0%
6 442
11.5%
7 398
10.3%
5 370
9.6%
8 319
 
8.3%
1 299
 
7.8%
4 277
 
7.2%
2 242
 
6.3%
3 241
 
6.2%
9 239
 
6.2%
Other values (2) 141
 
3.7%
Latin
ValueCountFrequency (%)
l 22
16.7%
a 22
16.7%
o 11
8.3%
e 11
8.3%
b 11
8.3%
i 11
8.3%
v 11
8.3%
A 11
8.3%
t 11
8.3%
N 11
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 888
22.3%
6 442
11.1%
7 398
10.0%
5 370
9.3%
8 319
 
8.0%
1 299
 
7.5%
4 277
 
6.9%
2 242
 
6.1%
3 241
 
6.0%
9 239
 
6.0%
Other values (12) 273
 
6.8%
Distinct526
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size59.9 KiB
2023-12-09T20:43:28.488854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.166
Min length2

Characters and Unicode

Total characters4166
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)26.8%

Sample

1st row45.8
2nd row98.9
3rd row70.3
4th row95
5th row101.5
ValueCountFrequency (%)
not 31
 
3.0%
available 31
 
3.0%
70.3 6
 
0.6%
71.3 6
 
0.6%
72.6 6
 
0.6%
80.1 6
 
0.6%
57.7 6
 
0.6%
65.6 6
 
0.6%
61.2 5
 
0.5%
72.7 5
 
0.5%
Other values (517) 923
89.5%
2023-12-09T20:43:29.130701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 869
20.9%
7 436
10.5%
6 425
10.2%
5 349
8.4%
8 311
 
7.5%
1 300
 
7.2%
4 259
 
6.2%
9 237
 
5.7%
2 224
 
5.4%
3 208
 
5.0%
Other values (12) 548
13.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2894
69.5%
Other Punctuation 869
 
20.9%
Lowercase Letter 310
 
7.4%
Uppercase Letter 62
 
1.5%
Space Separator 31
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 436
15.1%
6 425
14.7%
5 349
12.1%
8 311
10.7%
1 300
10.4%
4 259
8.9%
9 237
8.2%
2 224
7.7%
3 208
7.2%
0 145
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
l 62
20.0%
a 62
20.0%
b 31
10.0%
e 31
10.0%
o 31
10.0%
i 31
10.0%
v 31
10.0%
t 31
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 31
50.0%
N 31
50.0%
Other Punctuation
ValueCountFrequency (%)
. 869
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3794
91.1%
Latin 372
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 869
22.9%
7 436
11.5%
6 425
11.2%
5 349
9.2%
8 311
 
8.2%
1 300
 
7.9%
4 259
 
6.8%
9 237
 
6.2%
2 224
 
5.9%
3 208
 
5.5%
Other values (2) 176
 
4.6%
Latin
ValueCountFrequency (%)
l 62
16.7%
a 62
16.7%
b 31
8.3%
e 31
8.3%
o 31
8.3%
i 31
8.3%
v 31
8.3%
A 31
8.3%
t 31
8.3%
N 31
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 869
20.9%
7 436
10.5%
6 425
10.2%
5 349
8.4%
8 311
 
7.5%
1 300
 
7.2%
4 259
 
6.2%
9 237
 
5.7%
2 224
 
5.4%
3 208
 
5.0%
Other values (12) 548
13.2%
Distinct459
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
2023-12-09T20:43:29.572376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.857
Min length2

Characters and Unicode

Total characters3857
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)20.5%

Sample

1st row71.6
2nd row119.2
3rd row87.8
4th row118.5
5th row90.9
ValueCountFrequency (%)
48.5 11
 
1.1%
83.4 8
 
0.8%
84.3 8
 
0.8%
71.6 7
 
0.7%
77.2 7
 
0.7%
72 6
 
0.6%
81.2 6
 
0.6%
89.8 6
 
0.6%
75.9 6
 
0.6%
78.8 6
 
0.6%
Other values (449) 929
92.9%
2023-12-09T20:43:30.124959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 885
22.9%
7 496
12.9%
8 474
12.3%
6 383
9.9%
9 320
 
8.3%
1 269
 
7.0%
5 243
 
6.3%
3 213
 
5.5%
2 212
 
5.5%
4 209
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2972
77.1%
Other Punctuation 885
 
22.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 496
16.7%
8 474
15.9%
6 383
12.9%
9 320
10.8%
1 269
9.1%
5 243
8.2%
3 213
7.2%
2 212
7.1%
4 209
7.0%
0 153
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 885
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3857
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 885
22.9%
7 496
12.9%
8 474
12.3%
6 383
9.9%
9 320
 
8.3%
1 269
 
7.0%
5 243
 
6.3%
3 213
 
5.5%
2 212
 
5.5%
4 209
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 885
22.9%
7 496
12.9%
8 474
12.3%
6 383
9.9%
9 320
 
8.3%
1 269
 
7.0%
5 243
 
6.3%
3 213
 
5.5%
2 212
 
5.5%
4 209
 
5.4%
Distinct590
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:43:30.644145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.341
Min length1

Characters and Unicode

Total characters4341
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)33.8%

Sample

1st row-36.2
2nd row-15.3
3rd row-19.9
4th row-18
5th row10.5
ValueCountFrequency (%)
not 11
 
1.1%
available 11
 
1.1%
18 8
 
0.8%
8.5 7
 
0.7%
12.1 7
 
0.7%
12.3 7
 
0.7%
10.5 6
 
0.6%
16.4 6
 
0.6%
7.3 6
 
0.6%
4.4 6
 
0.6%
Other values (442) 936
92.6%
2023-12-09T20:43:31.291310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 883
20.3%
- 702
16.2%
1 487
11.2%
2 407
9.4%
3 353
 
8.1%
4 259
 
6.0%
6 231
 
5.3%
5 215
 
5.0%
7 195
 
4.5%
9 190
 
4.4%
Other values (13) 419
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2613
60.2%
Other Punctuation 883
 
20.3%
Dash Punctuation 702
 
16.2%
Lowercase Letter 110
 
2.5%
Uppercase Letter 22
 
0.5%
Space Separator 11
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 487
18.6%
2 407
15.6%
3 353
13.5%
4 259
9.9%
6 231
8.8%
5 215
8.2%
7 195
7.5%
9 190
 
7.3%
8 169
 
6.5%
0 107
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
l 22
20.0%
a 22
20.0%
o 11
10.0%
e 11
10.0%
b 11
10.0%
i 11
10.0%
v 11
10.0%
t 11
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 11
50.0%
N 11
50.0%
Other Punctuation
ValueCountFrequency (%)
. 883
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 702
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4209
97.0%
Latin 132
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 883
21.0%
- 702
16.7%
1 487
11.6%
2 407
9.7%
3 353
 
8.4%
4 259
 
6.2%
6 231
 
5.5%
5 215
 
5.1%
7 195
 
4.6%
9 190
 
4.5%
Other values (3) 287
 
6.8%
Latin
ValueCountFrequency (%)
l 22
16.7%
a 22
16.7%
o 11
8.3%
e 11
8.3%
b 11
8.3%
i 11
8.3%
v 11
8.3%
A 11
8.3%
t 11
8.3%
N 11
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 883
20.3%
- 702
16.2%
1 487
11.2%
2 407
9.4%
3 353
 
8.1%
4 259
 
6.0%
6 231
 
5.3%
5 215
 
5.0%
7 195
 
4.5%
9 190
 
4.4%
Other values (13) 419
9.7%
Distinct990
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:43:31.641539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.252
Min length6

Characters and Unicode

Total characters9252
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique989 ?
Unique (%)98.9%

Sample

1st row31355534.8
2nd row38834131.1
3rd row40618610.7
4th row38182282.5
5th row160831010
ValueCountFrequency (%)
not 11
 
1.1%
available 11
 
1.1%
6840378.6 1
 
0.1%
5445200.1 1
 
0.1%
8486110.3 1
 
0.1%
9591462.3 1
 
0.1%
20486778.9 1
 
0.1%
10448983 1
 
0.1%
71013705 1
 
0.1%
74982308.9 1
 
0.1%
Other values (981) 981
97.0%
2023-12-09T20:43:32.122065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1004
10.9%
. 898
9.7%
7 850
9.2%
2 826
8.9%
6 824
8.9%
4 822
8.9%
5 809
8.7%
3 799
8.6%
8 797
8.6%
9 788
8.5%
Other values (12) 835
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8211
88.7%
Other Punctuation 898
 
9.7%
Lowercase Letter 110
 
1.2%
Uppercase Letter 22
 
0.2%
Space Separator 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1004
12.2%
7 850
10.4%
2 826
10.1%
6 824
10.0%
4 822
10.0%
5 809
9.9%
3 799
9.7%
8 797
9.7%
9 788
9.6%
0 692
8.4%
Lowercase Letter
ValueCountFrequency (%)
a 22
20.0%
l 22
20.0%
i 11
10.0%
b 11
10.0%
e 11
10.0%
o 11
10.0%
v 11
10.0%
t 11
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 11
50.0%
N 11
50.0%
Other Punctuation
ValueCountFrequency (%)
. 898
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9120
98.6%
Latin 132
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1004
11.0%
. 898
9.8%
7 850
9.3%
2 826
9.1%
6 824
9.0%
4 822
9.0%
5 809
8.9%
3 799
8.8%
8 797
8.7%
9 788
8.6%
Other values (2) 703
7.7%
Latin
ValueCountFrequency (%)
a 22
16.7%
l 22
16.7%
i 11
8.3%
b 11
8.3%
e 11
8.3%
o 11
8.3%
v 11
8.3%
A 11
8.3%
t 11
8.3%
N 11
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1004
10.9%
. 898
9.7%
7 850
9.2%
2 826
8.9%
6 824
8.9%
4 822
8.9%
5 809
8.7%
3 799
8.6%
8 797
8.6%
9 788
8.5%
Other values (12) 835
9.0%
Distinct970
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size64.9 KiB
2023-12-09T20:43:32.445695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.292
Min length6

Characters and Unicode

Total characters9292
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique969 ?
Unique (%)96.9%

Sample

1st row31371842.5
2nd row38013858.7
3rd row40596756.9
4th row37325389.5
5th row162536934.7
ValueCountFrequency (%)
not 31
 
3.0%
available 31
 
3.0%
3490982.7 1
 
0.1%
10348807 1
 
0.1%
9723719 1
 
0.1%
1570741.9 1
 
0.1%
8372536.2 1
 
0.1%
34933121.9 1
 
0.1%
11976706.9 1
 
0.1%
4231315.1 1
 
0.1%
Other values (961) 961
93.2%
2023-12-09T20:43:32.897817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 980
10.5%
. 864
9.3%
2 843
9.1%
6 810
8.7%
7 805
8.7%
8 788
8.5%
5 787
8.5%
3 786
8.5%
4 780
8.4%
9 772
8.3%
Other values (12) 1077
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8025
86.4%
Other Punctuation 864
 
9.3%
Lowercase Letter 310
 
3.3%
Uppercase Letter 62
 
0.7%
Space Separator 31
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 980
12.2%
2 843
10.5%
6 810
10.1%
7 805
10.0%
8 788
9.8%
5 787
9.8%
3 786
9.8%
4 780
9.7%
9 772
9.6%
0 674
8.4%
Lowercase Letter
ValueCountFrequency (%)
l 62
20.0%
a 62
20.0%
i 31
10.0%
b 31
10.0%
e 31
10.0%
o 31
10.0%
v 31
10.0%
t 31
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 31
50.0%
N 31
50.0%
Other Punctuation
ValueCountFrequency (%)
. 864
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8920
96.0%
Latin 372
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 980
11.0%
. 864
9.7%
2 843
9.5%
6 810
9.1%
7 805
9.0%
8 788
8.8%
5 787
8.8%
3 786
8.8%
4 780
8.7%
9 772
8.7%
Other values (2) 705
7.9%
Latin
ValueCountFrequency (%)
l 62
16.7%
a 62
16.7%
i 31
8.3%
b 31
8.3%
e 31
8.3%
o 31
8.3%
v 31
8.3%
A 31
8.3%
t 31
8.3%
N 31
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 980
10.5%
. 864
9.3%
2 843
9.1%
6 810
8.7%
7 805
8.7%
8 788
8.5%
5 787
8.5%
3 786
8.5%
4 780
8.4%
9 772
8.3%
Other values (12) 1077
11.6%
Distinct181
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size58.9 KiB
2023-12-09T20:43:33.239396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.201
Min length1

Characters and Unicode

Total characters3201
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)5.8%

Sample

1st row10.3
2nd row13.2
3rd row12.9
4th row11.7
5th row20
ValueCountFrequency (%)
4.6 36
 
3.5%
4.2 31
 
3.1%
4.7 28
 
2.8%
3.8 27
 
2.7%
4.1 26
 
2.6%
5.2 24
 
2.4%
3.7 24
 
2.4%
3.9 24
 
2.4%
5.1 24
 
2.4%
4.9 24
 
2.4%
Other values (172) 748
73.6%
2023-12-09T20:43:33.685524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 903
28.2%
4 371
11.6%
1 314
 
9.8%
3 284
 
8.9%
5 283
 
8.8%
6 192
 
6.0%
2 173
 
5.4%
7 170
 
5.3%
8 146
 
4.6%
9 125
 
3.9%
Other values (12) 240
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2090
65.3%
Other Punctuation 903
28.2%
Lowercase Letter 160
 
5.0%
Uppercase Letter 32
 
1.0%
Space Separator 16
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 371
17.8%
1 314
15.0%
3 284
13.6%
5 283
13.5%
6 192
9.2%
2 173
8.3%
7 170
8.1%
8 146
 
7.0%
9 125
 
6.0%
0 32
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
a 32
20.0%
l 32
20.0%
v 16
10.0%
t 16
10.0%
i 16
10.0%
b 16
10.0%
e 16
10.0%
o 16
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 16
50.0%
N 16
50.0%
Other Punctuation
ValueCountFrequency (%)
. 903
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
94.0%
Latin 192
 
6.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 903
30.0%
4 371
12.3%
1 314
 
10.4%
3 284
 
9.4%
5 283
 
9.4%
6 192
 
6.4%
2 173
 
5.7%
7 170
 
5.6%
8 146
 
4.9%
9 125
 
4.2%
Other values (2) 48
 
1.6%
Latin
ValueCountFrequency (%)
a 32
16.7%
l 32
16.7%
A 16
8.3%
v 16
8.3%
t 16
8.3%
i 16
8.3%
N 16
8.3%
b 16
8.3%
e 16
8.3%
o 16
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3201
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 903
28.2%
4 371
11.6%
1 314
 
9.8%
3 284
 
8.9%
5 283
 
8.8%
6 192
 
6.0%
2 173
 
5.4%
7 170
 
5.3%
8 146
 
4.6%
9 125
 
3.9%
Other values (12) 240
 
7.5%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T20:43:33.857409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.956
Min length1

Characters and Unicode

Total characters2956
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd row0
4th rowNot Available
5th row0.2
ValueCountFrequency (%)
0 389
36.2%
0.4 126
 
11.7%
0.5 123
 
11.5%
0.3 92
 
8.6%
not 74
 
6.9%
available 74
 
6.9%
0.6 68
 
6.3%
0.1 54
 
5.0%
0.2 31
 
2.9%
0.7 21
 
2.0%
Other values (8) 22
 
2.0%
2023-12-09T20:43:34.133796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 916
31.0%
. 534
18.1%
l 148
 
5.0%
a 148
 
5.0%
4 128
 
4.3%
5 123
 
4.2%
3 95
 
3.2%
t 74
 
2.5%
74
 
2.5%
A 74
 
2.5%
Other values (12) 642
21.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1460
49.4%
Lowercase Letter 740
25.0%
Other Punctuation 534
 
18.1%
Uppercase Letter 148
 
5.0%
Space Separator 74
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 916
62.7%
4 128
 
8.8%
5 123
 
8.4%
3 95
 
6.5%
6 68
 
4.7%
1 61
 
4.2%
2 34
 
2.3%
7 22
 
1.5%
8 7
 
0.5%
9 6
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
l 148
20.0%
a 148
20.0%
t 74
10.0%
v 74
10.0%
o 74
10.0%
i 74
10.0%
b 74
10.0%
e 74
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 74
50.0%
N 74
50.0%
Other Punctuation
ValueCountFrequency (%)
. 534
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2068
70.0%
Latin 888
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 916
44.3%
. 534
25.8%
4 128
 
6.2%
5 123
 
5.9%
3 95
 
4.6%
74
 
3.6%
6 68
 
3.3%
1 61
 
2.9%
2 34
 
1.6%
7 22
 
1.1%
Other values (2) 13
 
0.6%
Latin
ValueCountFrequency (%)
l 148
16.7%
a 148
16.7%
t 74
8.3%
A 74
8.3%
v 74
8.3%
o 74
8.3%
i 74
8.3%
N 74
8.3%
b 74
8.3%
e 74
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 916
31.0%
. 534
18.1%
l 148
 
5.0%
a 148
 
5.0%
4 128
 
4.3%
5 123
 
4.2%
3 95
 
3.2%
t 74
 
2.5%
74
 
2.5%
A 74
 
2.5%
Other values (12) 642
21.7%
Distinct671
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:43:34.644507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.486
Min length2

Characters and Unicode

Total characters4486
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique457 ?
Unique (%)45.7%

Sample

1st row110.9
2nd row193.4
3rd row155.6
4th row181.5
5th row226.1
ValueCountFrequency (%)
not 11
 
1.1%
available 11
 
1.1%
81.2 7
 
0.7%
97.6 6
 
0.6%
112 5
 
0.5%
121.2 5
 
0.5%
93.5 5
 
0.5%
80.7 5
 
0.5%
110.2 4
 
0.4%
99.3 4
 
0.4%
Other values (662) 948
93.8%
2023-12-09T20:43:35.291182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 893
19.9%
1 837
18.7%
9 389
8.7%
8 322
 
7.2%
2 315
 
7.0%
3 283
 
6.3%
7 282
 
6.3%
4 271
 
6.0%
6 262
 
5.8%
0 256
 
5.7%
Other values (12) 376
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3450
76.9%
Other Punctuation 893
 
19.9%
Lowercase Letter 110
 
2.5%
Uppercase Letter 22
 
0.5%
Space Separator 11
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 837
24.3%
9 389
11.3%
8 322
 
9.3%
2 315
 
9.1%
3 283
 
8.2%
7 282
 
8.2%
4 271
 
7.9%
6 262
 
7.6%
0 256
 
7.4%
5 233
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
l 22
20.0%
a 22
20.0%
b 11
10.0%
e 11
10.0%
o 11
10.0%
i 11
10.0%
v 11
10.0%
t 11
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 11
50.0%
N 11
50.0%
Other Punctuation
ValueCountFrequency (%)
. 893
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4354
97.1%
Latin 132
 
2.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 893
20.5%
1 837
19.2%
9 389
8.9%
8 322
 
7.4%
2 315
 
7.2%
3 283
 
6.5%
7 282
 
6.5%
4 271
 
6.2%
6 262
 
6.0%
0 256
 
5.9%
Other values (2) 244
 
5.6%
Latin
ValueCountFrequency (%)
l 22
16.7%
a 22
16.7%
b 11
8.3%
e 11
8.3%
o 11
8.3%
i 11
8.3%
v 11
8.3%
A 11
8.3%
t 11
8.3%
N 11
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 893
19.9%
1 837
18.7%
9 389
8.7%
8 322
 
7.2%
2 315
 
7.0%
3 283
 
6.3%
7 282
 
6.3%
4 271
 
6.0%
6 262
 
5.8%
0 256
 
5.7%
Other values (12) 376
8.4%
Distinct670
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size60.4 KiB
2023-12-09T20:43:35.820806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.683
Min length2

Characters and Unicode

Total characters4683
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique453 ?
Unique (%)45.3%

Sample

1st row110.9
2nd row190.6
3rd row154.6
4th row178.2
5th row227.3
ValueCountFrequency (%)
not 31
 
3.0%
available 31
 
3.0%
98.2 7
 
0.7%
92.2 5
 
0.5%
89.4 5
 
0.5%
81.1 5
 
0.5%
105.7 5
 
0.5%
98.7 5
 
0.5%
104.8 5
 
0.5%
103.7 5
 
0.5%
Other values (661) 927
89.9%
2023-12-09T20:43:36.475645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 884
18.9%
1 832
17.8%
9 362
7.7%
8 350
 
7.5%
2 312
 
6.7%
7 287
 
6.1%
3 277
 
5.9%
6 276
 
5.9%
0 243
 
5.2%
5 231
 
4.9%
Other values (12) 629
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3396
72.5%
Other Punctuation 884
 
18.9%
Lowercase Letter 310
 
6.6%
Uppercase Letter 62
 
1.3%
Space Separator 31
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 832
24.5%
9 362
10.7%
8 350
10.3%
2 312
 
9.2%
7 287
 
8.5%
3 277
 
8.2%
6 276
 
8.1%
0 243
 
7.2%
5 231
 
6.8%
4 226
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 62
20.0%
a 62
20.0%
b 31
10.0%
e 31
10.0%
o 31
10.0%
i 31
10.0%
v 31
10.0%
t 31
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 31
50.0%
N 31
50.0%
Other Punctuation
ValueCountFrequency (%)
. 884
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4311
92.1%
Latin 372
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 884
20.5%
1 832
19.3%
9 362
8.4%
8 350
 
8.1%
2 312
 
7.2%
7 287
 
6.7%
3 277
 
6.4%
6 276
 
6.4%
0 243
 
5.6%
5 231
 
5.4%
Other values (2) 257
 
6.0%
Latin
ValueCountFrequency (%)
l 62
16.7%
a 62
16.7%
b 31
8.3%
e 31
8.3%
o 31
8.3%
i 31
8.3%
v 31
8.3%
A 31
8.3%
t 31
8.3%
N 31
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 884
18.9%
1 832
17.8%
9 362
7.7%
8 350
 
7.5%
2 312
 
6.7%
7 287
 
6.1%
3 277
 
5.9%
6 276
 
5.9%
0 243
 
5.2%
5 231
 
4.9%
Other values (12) 629
13.4%
Distinct576
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size60.4 KiB
2023-12-09T20:43:36.961036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.711
Min length2

Characters and Unicode

Total characters4711
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique331 ?
Unique (%)33.1%

Sample

1st row173.7
2nd row228.3
3rd row194.3
4th row221.4
5th row204.7
ValueCountFrequency (%)
104.4 12
 
1.2%
105.3 7
 
0.7%
124.8 6
 
0.6%
116.4 6
 
0.6%
119.1 6
 
0.6%
120.3 5
 
0.5%
124.5 5
 
0.5%
113.8 5
 
0.5%
110.4 5
 
0.5%
114.4 5
 
0.5%
Other values (566) 938
93.8%
2023-12-09T20:43:37.561587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1262
26.8%
. 914
19.4%
2 459
 
9.7%
3 352
 
7.5%
4 297
 
6.3%
9 281
 
6.0%
0 259
 
5.5%
8 226
 
4.8%
6 226
 
4.8%
7 219
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3797
80.6%
Other Punctuation 914
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1262
33.2%
2 459
 
12.1%
3 352
 
9.3%
4 297
 
7.8%
9 281
 
7.4%
0 259
 
6.8%
8 226
 
6.0%
6 226
 
6.0%
7 219
 
5.8%
5 216
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 914
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4711
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1262
26.8%
. 914
19.4%
2 459
 
9.7%
3 352
 
7.5%
4 297
 
6.3%
9 281
 
6.0%
0 259
 
5.5%
8 226
 
4.8%
6 226
 
4.8%
7 219
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4711
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1262
26.8%
. 914
19.4%
2 459
 
9.7%
3 352
 
7.5%
4 297
 
6.3%
9 281
 
6.0%
0 259
 
5.5%
8 226
 
4.8%
6 226
 
4.8%
7 219
 
4.6%
Distinct590
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:43:38.077873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.341
Min length1

Characters and Unicode

Total characters4341
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)33.8%

Sample

1st row-36.2
2nd row-15.3
3rd row-19.9
4th row-18
5th row10.5
ValueCountFrequency (%)
not 11
 
1.1%
available 11
 
1.1%
18 8
 
0.8%
8.5 7
 
0.7%
12.1 7
 
0.7%
12.3 7
 
0.7%
10.5 6
 
0.6%
16.4 6
 
0.6%
7.3 6
 
0.6%
4.4 6
 
0.6%
Other values (442) 936
92.6%
2023-12-09T20:43:38.718380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 883
20.3%
- 702
16.2%
1 487
11.2%
2 407
9.4%
3 353
 
8.1%
4 259
 
6.0%
6 231
 
5.3%
5 215
 
5.0%
7 195
 
4.5%
9 190
 
4.4%
Other values (13) 419
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2613
60.2%
Other Punctuation 883
 
20.3%
Dash Punctuation 702
 
16.2%
Lowercase Letter 110
 
2.5%
Uppercase Letter 22
 
0.5%
Space Separator 11
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 487
18.6%
2 407
15.6%
3 353
13.5%
4 259
9.9%
6 231
8.8%
5 215
8.2%
7 195
7.5%
9 190
 
7.3%
8 169
 
6.5%
0 107
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
l 22
20.0%
a 22
20.0%
o 11
10.0%
e 11
10.0%
b 11
10.0%
i 11
10.0%
v 11
10.0%
t 11
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 11
50.0%
N 11
50.0%
Other Punctuation
ValueCountFrequency (%)
. 883
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 702
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4209
97.0%
Latin 132
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 883
21.0%
- 702
16.7%
1 487
11.6%
2 407
9.7%
3 353
 
8.4%
4 259
 
6.2%
6 231
 
5.5%
5 215
 
5.1%
7 195
 
4.6%
9 190
 
4.5%
Other values (3) 287
 
6.8%
Latin
ValueCountFrequency (%)
l 22
16.7%
a 22
16.7%
o 11
8.3%
e 11
8.3%
b 11
8.3%
i 11
8.3%
v 11
8.3%
A 11
8.3%
t 11
8.3%
N 11
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 883
20.3%
- 702
16.2%
1 487
11.2%
2 407
9.4%
3 353
 
8.1%
4 259
 
6.0%
6 231
 
5.3%
5 215
 
5.0%
7 195
 
4.5%
9 190
 
4.4%
Other values (13) 419
9.7%
Distinct979
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T20:43:39.086067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.618
Min length6

Characters and Unicode

Total characters9618
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique978 ?
Unique (%)97.8%

Sample

1st row76041571.2
2nd row74360654.6
3rd row89892927.4
4th row71336439.8
5th row362229159.1
ValueCountFrequency (%)
not 22
 
2.2%
available 22
 
2.2%
11070310.6 1
 
0.1%
17524081.4 1
 
0.1%
12601539.2 1
 
0.1%
10054251.7 1
 
0.1%
23302970.1 1
 
0.1%
7806243.8 1
 
0.1%
11624853.3 1
 
0.1%
11759368.2 1
 
0.1%
Other values (970) 970
94.9%
2023-12-09T20:43:39.581812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1171
12.2%
2 924
9.6%
. 889
9.2%
9 854
8.9%
3 847
8.8%
8 837
8.7%
4 799
8.3%
5 799
8.3%
7 756
7.9%
0 735
7.6%
Other values (12) 1007
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8443
87.8%
Other Punctuation 889
 
9.2%
Lowercase Letter 220
 
2.3%
Uppercase Letter 44
 
0.5%
Space Separator 22
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1171
13.9%
2 924
10.9%
9 854
10.1%
3 847
10.0%
8 837
9.9%
4 799
9.5%
5 799
9.5%
7 756
9.0%
0 735
8.7%
6 721
8.5%
Lowercase Letter
ValueCountFrequency (%)
l 44
20.0%
a 44
20.0%
b 22
10.0%
e 22
10.0%
o 22
10.0%
i 22
10.0%
v 22
10.0%
t 22
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 22
50.0%
N 22
50.0%
Other Punctuation
ValueCountFrequency (%)
. 889
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9354
97.3%
Latin 264
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1171
12.5%
2 924
9.9%
. 889
9.5%
9 854
9.1%
3 847
9.1%
8 837
8.9%
4 799
8.5%
5 799
8.5%
7 756
8.1%
0 735
7.9%
Other values (2) 743
7.9%
Latin
ValueCountFrequency (%)
l 44
16.7%
a 44
16.7%
b 22
8.3%
e 22
8.3%
o 22
8.3%
i 22
8.3%
v 22
8.3%
A 22
8.3%
t 22
8.3%
N 22
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1171
12.2%
2 924
9.6%
. 889
9.2%
9 854
8.9%
3 847
8.8%
8 837
8.7%
4 799
8.3%
5 799
8.3%
7 756
7.9%
0 735
7.6%
Other values (12) 1007
10.5%
Distinct990
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T20:43:39.955088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.587
Min length6

Characters and Unicode

Total characters9587
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique989 ?
Unique (%)98.9%

Sample

1st row76041571.2
2nd row74360654.6
3rd row89892927.4
4th row71336439.8
5th row362229159.1
ValueCountFrequency (%)
not 11
 
1.1%
available 11
 
1.1%
12860865.1 1
 
0.1%
17046861.2 1
 
0.1%
11332338.9 1
 
0.1%
12601539.2 1
 
0.1%
8284156.7 1
 
0.1%
7806243.8 1
 
0.1%
11624853.3 1
 
0.1%
11759368.2 1
 
0.1%
Other values (981) 981
97.0%
2023-12-09T20:43:40.451540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1183
12.3%
2 952
9.9%
. 898
9.4%
9 859
9.0%
3 850
8.9%
8 846
8.8%
4 811
8.5%
5 798
8.3%
7 762
7.9%
0 755
7.9%
Other values (12) 873
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8546
89.1%
Other Punctuation 898
 
9.4%
Lowercase Letter 110
 
1.1%
Uppercase Letter 22
 
0.2%
Space Separator 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1183
13.8%
2 952
11.1%
9 859
10.1%
3 850
9.9%
8 846
9.9%
4 811
9.5%
5 798
9.3%
7 762
8.9%
0 755
8.8%
6 730
8.5%
Lowercase Letter
ValueCountFrequency (%)
l 22
20.0%
a 22
20.0%
o 11
10.0%
e 11
10.0%
b 11
10.0%
i 11
10.0%
v 11
10.0%
t 11
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 11
50.0%
N 11
50.0%
Other Punctuation
ValueCountFrequency (%)
. 898
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9455
98.6%
Latin 132
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1183
12.5%
2 952
10.1%
. 898
9.5%
9 859
9.1%
3 850
9.0%
8 846
8.9%
4 811
8.6%
5 798
8.4%
7 762
8.1%
0 755
8.0%
Other values (2) 741
7.8%
Latin
ValueCountFrequency (%)
l 22
16.7%
a 22
16.7%
o 11
8.3%
e 11
8.3%
b 11
8.3%
i 11
8.3%
v 11
8.3%
A 11
8.3%
t 11
8.3%
N 11
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9587
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1183
12.3%
2 952
9.9%
. 898
9.4%
9 859
9.0%
3 850
8.9%
8 846
8.8%
4 811
8.5%
5 798
8.3%
7 762
7.9%
0 755
7.9%
Other values (12) 873
9.1%
Distinct970
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T20:43:40.821520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.608
Min length7

Characters and Unicode

Total characters9608
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique969 ?
Unique (%)96.9%

Sample

1st row76061190
2nd row73278739.1
3rd row89267197.3
4th row70034515.2
5th row364053096.7
ValueCountFrequency (%)
not 31
 
3.0%
available 31
 
3.0%
14896380.6 1
 
0.1%
20180027.6 1
 
0.1%
6325310.2 1
 
0.1%
17321346.5 1
 
0.1%
35707872.7 1
 
0.1%
9124465.1 1
 
0.1%
15016128.6 1
 
0.1%
13012129.6 1
 
0.1%
Other values (961) 961
93.2%
2023-12-09T20:43:41.315881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1218
12.7%
2 884
9.2%
. 861
9.0%
8 841
8.8%
9 814
8.5%
3 799
8.3%
5 790
8.2%
6 774
8.1%
4 770
8.0%
7 759
7.9%
Other values (12) 1098
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8344
86.8%
Other Punctuation 861
 
9.0%
Lowercase Letter 310
 
3.2%
Uppercase Letter 62
 
0.6%
Space Separator 31
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1218
14.6%
2 884
10.6%
8 841
10.1%
9 814
9.8%
3 799
9.6%
5 790
9.5%
6 774
9.3%
4 770
9.2%
7 759
9.1%
0 695
8.3%
Lowercase Letter
ValueCountFrequency (%)
l 62
20.0%
a 62
20.0%
t 31
10.0%
v 31
10.0%
o 31
10.0%
e 31
10.0%
b 31
10.0%
i 31
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 31
50.0%
N 31
50.0%
Other Punctuation
ValueCountFrequency (%)
. 861
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9236
96.1%
Latin 372
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1218
13.2%
2 884
9.6%
. 861
9.3%
8 841
9.1%
9 814
8.8%
3 799
8.7%
5 790
8.6%
6 774
8.4%
4 770
8.3%
7 759
8.2%
Other values (2) 726
7.9%
Latin
ValueCountFrequency (%)
l 62
16.7%
a 62
16.7%
t 31
8.3%
v 31
8.3%
A 31
8.3%
o 31
8.3%
e 31
8.3%
b 31
8.3%
i 31
8.3%
N 31
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1218
12.7%
2 884
9.2%
. 861
9.0%
8 841
8.8%
9 814
8.5%
3 799
8.3%
5 790
8.2%
6 774
8.1%
4 770
8.0%
7 759
7.9%
Other values (12) 1098
11.4%

fuel_oil_1_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:43:41.499151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:43:41.779679image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct382
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size65.5 KiB
2023-12-09T20:43:42.229582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.978
Min length1

Characters and Unicode

Total characters9978
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique355 ?
Unique (%)35.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 499
33.3%
available 499
33.3%
0 59
 
3.9%
414000 8
 
0.5%
552000 7
 
0.5%
276000 7
 
0.5%
621000.1 6
 
0.4%
344999.9 6
 
0.4%
689999.9 5
 
0.3%
828000.1 5
 
0.3%
Other values (373) 398
26.6%
2023-12-09T20:43:42.821223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 998
 
10.0%
a 998
 
10.0%
0 545
 
5.5%
i 499
 
5.0%
o 499
 
5.0%
e 499
 
5.0%
b 499
 
5.0%
N 499
 
5.0%
v 499
 
5.0%
A 499
 
5.0%
Other values (12) 3944
39.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4990
50.0%
Decimal Number 3208
32.2%
Uppercase Letter 998
 
10.0%
Space Separator 499
 
5.0%
Other Punctuation 283
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 545
17.0%
1 415
12.9%
9 359
11.2%
8 311
9.7%
6 285
8.9%
4 284
8.9%
2 271
8.4%
7 265
8.3%
5 238
7.4%
3 235
7.3%
Lowercase Letter
ValueCountFrequency (%)
l 998
20.0%
a 998
20.0%
i 499
10.0%
o 499
10.0%
e 499
10.0%
b 499
10.0%
v 499
10.0%
t 499
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 499
50.0%
A 499
50.0%
Space Separator
ValueCountFrequency (%)
499
100.0%
Other Punctuation
ValueCountFrequency (%)
. 283
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5988
60.0%
Common 3990
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 545
13.7%
499
12.5%
1 415
10.4%
9 359
9.0%
8 311
7.8%
6 285
7.1%
4 284
7.1%
. 283
7.1%
2 271
6.8%
7 265
6.6%
Other values (2) 473
11.9%
Latin
ValueCountFrequency (%)
l 998
16.7%
a 998
16.7%
i 499
8.3%
o 499
8.3%
e 499
8.3%
b 499
8.3%
N 499
8.3%
v 499
8.3%
A 499
8.3%
t 499
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 998
 
10.0%
a 998
 
10.0%
0 545
 
5.5%
i 499
 
5.0%
o 499
 
5.0%
e 499
 
5.0%
b 499
 
5.0%
N 499
 
5.0%
v 499
 
5.0%
A 499
 
5.0%
Other values (12) 3944
39.5%
Distinct245
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:43:43.201569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.931
Min length1

Characters and Unicode

Total characters11931
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique243 ?
Unique (%)24.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 754
43.0%
available 754
43.0%
0 3
 
0.2%
17429201.2 1
 
0.1%
6244274 1
 
0.1%
5322138.2 1
 
0.1%
6860130.8 1
 
0.1%
4895964 1
 
0.1%
5915481.7 1
 
0.1%
7198092 1
 
0.1%
Other values (236) 236
 
13.5%
2023-12-09T20:43:43.709249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1508
12.6%
l 1508
12.6%
N 754
 
6.3%
t 754
 
6.3%
754
 
6.3%
A 754
 
6.3%
v 754
 
6.3%
i 754
 
6.3%
b 754
 
6.3%
e 754
 
6.3%
Other values (12) 2883
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7540
63.2%
Decimal Number 1933
 
16.2%
Uppercase Letter 1508
 
12.6%
Space Separator 754
 
6.3%
Other Punctuation 196
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 238
12.3%
1 219
11.3%
6 203
10.5%
2 198
10.2%
5 194
10.0%
8 193
10.0%
7 178
9.2%
9 175
9.1%
3 169
8.7%
0 166
8.6%
Lowercase Letter
ValueCountFrequency (%)
a 1508
20.0%
l 1508
20.0%
t 754
10.0%
v 754
10.0%
i 754
10.0%
b 754
10.0%
e 754
10.0%
o 754
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 754
50.0%
A 754
50.0%
Space Separator
ValueCountFrequency (%)
754
100.0%
Other Punctuation
ValueCountFrequency (%)
. 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9048
75.8%
Common 2883
 
24.2%

Most frequent character per script

Common
ValueCountFrequency (%)
754
26.2%
4 238
 
8.3%
1 219
 
7.6%
6 203
 
7.0%
2 198
 
6.9%
. 196
 
6.8%
5 194
 
6.7%
8 193
 
6.7%
7 178
 
6.2%
9 175
 
6.1%
Other values (2) 335
11.6%
Latin
ValueCountFrequency (%)
a 1508
16.7%
l 1508
16.7%
N 754
8.3%
t 754
8.3%
A 754
8.3%
v 754
8.3%
i 754
8.3%
b 754
8.3%
e 754
8.3%
o 754
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1508
12.6%
l 1508
12.6%
N 754
 
6.3%
t 754
 
6.3%
754
 
6.3%
A 754
 
6.3%
v 754
 
6.3%
i 754
 
6.3%
b 754
 
6.3%
e 754
 
6.3%
Other values (12) 2883
24.2%

fuel_oil_5_6_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:43:43.891819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:43:44.170809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:43:44.341481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.969
Min length1

Characters and Unicode

Total characters12969
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 2
 
0.1%
151800 1
 
0.1%
2023-12-09T20:43:44.632402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
1 2
25.0%
5 1
 
12.5%
8 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.2%
0 4
 
0.4%
1 2
 
0.2%
5 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1005
7.7%

kerosene_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:43:44.805240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:43:45.081780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

propane_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:43:45.248845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:43:45.524909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct126
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:43:47.413145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.574
Min length6

Characters and Unicode

Total characters12574
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)12.5%

Sample

1st row7360193.3
2nd row21525233
3rd row13872326.2
4th row22276059.2
5th row14073786.2
ValueCountFrequency (%)
not 875
46.7%
available 875
46.7%
12506198.9 1
 
0.1%
71710125.5 1
 
0.1%
22634063.2 1
 
0.1%
128141293.5 1
 
0.1%
28880932.7 1
 
0.1%
86047999.8 1
 
0.1%
151544592.2 1
 
0.1%
213812389.7 1
 
0.1%
Other values (117) 117
 
6.2%
2023-12-09T20:43:47.910756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1750
13.9%
l 1750
13.9%
N 875
7.0%
t 875
7.0%
875
7.0%
A 875
7.0%
v 875
7.0%
i 875
7.0%
b 875
7.0%
e 875
7.0%
Other values (13) 2074
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8750
69.6%
Uppercase Letter 1750
 
13.9%
Decimal Number 1085
 
8.6%
Space Separator 875
 
7.0%
Other Punctuation 112
 
0.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 136
12.5%
2 127
11.7%
3 115
10.6%
7 114
10.5%
5 110
10.1%
9 108
10.0%
4 100
9.2%
8 96
8.8%
6 95
8.8%
0 84
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 1750
20.0%
l 1750
20.0%
t 875
10.0%
v 875
10.0%
i 875
10.0%
b 875
10.0%
e 875
10.0%
o 875
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 875
50.0%
A 875
50.0%
Space Separator
ValueCountFrequency (%)
875
100.0%
Other Punctuation
ValueCountFrequency (%)
. 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10500
83.5%
Common 2074
 
16.5%

Most frequent character per script

Common
ValueCountFrequency (%)
875
42.2%
1 136
 
6.6%
2 127
 
6.1%
3 115
 
5.5%
7 114
 
5.5%
. 112
 
5.4%
5 110
 
5.3%
9 108
 
5.2%
4 100
 
4.8%
8 96
 
4.6%
Other values (3) 181
 
8.7%
Latin
ValueCountFrequency (%)
a 1750
16.7%
l 1750
16.7%
N 875
8.3%
t 875
8.3%
A 875
8.3%
v 875
8.3%
i 875
8.3%
b 875
8.3%
e 875
8.3%
o 875
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1750
13.9%
l 1750
13.9%
N 875
7.0%
t 875
7.0%
875
7.0%
A 875
7.0%
v 875
7.0%
i 875
7.0%
b 875
7.0%
e 875
7.0%
Other values (13) 2074
16.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:43:48.108693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
10864899.8 1
 
0.1%
39537998.4 1
 
0.1%
2023-12-09T20:43:48.419370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (11) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5
27.8%
8 4
22.2%
4 2
 
11.1%
3 2
 
11.1%
1 1
 
5.6%
0 1
 
5.6%
6 1
 
5.6%
5 1
 
5.6%
7 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
998
98.0%
9 5
 
0.5%
8 4
 
0.4%
4 2
 
0.2%
. 2
 
0.2%
3 2
 
0.2%
1 1
 
0.1%
0 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (11) 1018
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:43:48.605214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.99
Min length9

Characters and Unicode

Total characters12990
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
92972895.9 1
 
0.1%
8708696.6 1
 
0.1%
54885766.6 1
 
0.1%
2023-12-09T20:43:48.927123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 26
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
6 6
23.1%
9 5
19.2%
8 5
19.2%
7 3
11.5%
5 3
11.5%
2 2
 
7.7%
0 1
 
3.8%
4 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1026
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
97.2%
6 6
 
0.6%
9 5
 
0.5%
8 5
 
0.5%
7 3
 
0.3%
5 3
 
0.3%
. 3
 
0.3%
2 2
 
0.2%
0 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1026
7.9%
Distinct888
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2023-12-09T20:43:49.352566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.69
Min length1

Characters and Unicode

Total characters7690
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique859 ?
Unique (%)85.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row963227.2
4th rowNot Available
5th row37498520.4
ValueCountFrequency (%)
not 72
 
6.7%
available 72
 
6.7%
0 8
 
0.7%
1300 5
 
0.5%
100 4
 
0.4%
400 4
 
0.4%
61500 2
 
0.2%
212400 2
 
0.2%
3000 2
 
0.2%
64400 2
 
0.2%
Other values (879) 899
83.9%
2023-12-09T20:43:49.929812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1677
21.8%
9 820
10.7%
1 594
 
7.7%
2 539
 
7.0%
4 512
 
6.7%
3 509
 
6.6%
5 458
 
6.0%
. 431
 
5.6%
6 412
 
5.4%
8 411
 
5.3%
Other values (12) 1327
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6323
82.2%
Lowercase Letter 720
 
9.4%
Other Punctuation 431
 
5.6%
Uppercase Letter 144
 
1.9%
Space Separator 72
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1677
26.5%
9 820
13.0%
1 594
 
9.4%
2 539
 
8.5%
4 512
 
8.1%
3 509
 
8.0%
5 458
 
7.2%
6 412
 
6.5%
8 411
 
6.5%
7 391
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
l 144
20.0%
a 144
20.0%
b 72
10.0%
e 72
10.0%
o 72
10.0%
i 72
10.0%
v 72
10.0%
t 72
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 72
50.0%
N 72
50.0%
Other Punctuation
ValueCountFrequency (%)
. 431
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6826
88.8%
Latin 864
 
11.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1677
24.6%
9 820
12.0%
1 594
 
8.7%
2 539
 
7.9%
4 512
 
7.5%
3 509
 
7.5%
5 458
 
6.7%
. 431
 
6.3%
6 412
 
6.0%
8 411
 
6.0%
Other values (2) 463
 
6.8%
Latin
ValueCountFrequency (%)
l 144
16.7%
a 144
16.7%
b 72
8.3%
e 72
8.3%
o 72
8.3%
i 72
8.3%
v 72
8.3%
A 72
8.3%
t 72
8.3%
N 72
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1677
21.8%
9 820
10.7%
1 594
 
7.7%
2 539
 
7.0%
4 512
 
6.7%
3 509
 
6.6%
5 458
 
6.0%
. 431
 
5.6%
6 412
 
5.4%
8 411
 
5.3%
Other values (12) 1327
17.3%
Distinct902
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
2023-12-09T20:43:50.404018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.221
Min length1

Characters and Unicode

Total characters6221
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique888 ?
Unique (%)88.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd row9632.3
4th rowNot Available
5th row389906.7
ValueCountFrequency (%)
not 74
 
6.9%
available 74
 
6.9%
0 8
 
0.7%
4 4
 
0.4%
1 4
 
0.4%
727 3
 
0.3%
13 3
 
0.3%
1072 2
 
0.2%
13.4 2
 
0.2%
9.3 2
 
0.2%
Other values (893) 898
83.6%
2023-12-09T20:43:51.008721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 608
9.8%
1 569
9.1%
4 550
8.8%
3 524
8.4%
2 517
8.3%
5 470
 
7.6%
6 461
 
7.4%
8 431
 
6.9%
7 418
 
6.7%
9 400
 
6.4%
Other values (12) 1273
20.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4651
74.8%
Lowercase Letter 740
 
11.9%
Other Punctuation 608
 
9.8%
Uppercase Letter 148
 
2.4%
Space Separator 74
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 569
12.2%
4 550
11.8%
3 524
11.3%
2 517
11.1%
5 470
10.1%
6 461
9.9%
8 431
9.3%
7 418
9.0%
9 400
8.6%
0 311
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 148
20.0%
a 148
20.0%
o 74
10.0%
e 74
10.0%
b 74
10.0%
i 74
10.0%
v 74
10.0%
t 74
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 74
50.0%
N 74
50.0%
Other Punctuation
ValueCountFrequency (%)
. 608
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5333
85.7%
Latin 888
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 608
11.4%
1 569
10.7%
4 550
10.3%
3 524
9.8%
2 517
9.7%
5 470
8.8%
6 461
8.6%
8 431
8.1%
7 418
7.8%
9 400
7.5%
Other values (2) 385
7.2%
Latin
ValueCountFrequency (%)
l 148
16.7%
a 148
16.7%
o 74
8.3%
e 74
8.3%
b 74
8.3%
i 74
8.3%
v 74
8.3%
A 74
8.3%
t 74
8.3%
N 74
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 608
9.8%
1 569
9.1%
4 550
8.8%
3 524
8.4%
2 517
8.3%
5 470
 
7.6%
6 461
 
7.4%
8 431
 
6.9%
7 418
 
6.7%
9 400
 
6.4%
Other values (12) 1273
20.5%
Distinct961
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T20:43:51.378708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.853
Min length1

Characters and Unicode

Total characters8853
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique934 ?
Unique (%)93.4%

Sample

1st row23995341.5
2nd row17308898.1
3rd row25783057.2
4th row15906223.2
5th row109258703.4
ValueCountFrequency (%)
not 12
 
1.2%
available 12
 
1.2%
1658232 3
 
0.3%
1635030.4 3
 
0.3%
2165937.6 2
 
0.2%
1779699.2 2
 
0.2%
1959852.8 2
 
0.2%
1573614.4 2
 
0.2%
2238272 2
 
0.2%
1572249.6 2
 
0.2%
Other values (952) 970
95.8%
2023-12-09T20:43:51.894722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1058
12.0%
2 902
10.2%
. 863
9.7%
3 828
9.4%
4 806
9.1%
6 771
8.7%
5 757
8.6%
8 733
8.3%
7 705
8.0%
9 666
7.5%
Other values (12) 764
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7834
88.5%
Other Punctuation 863
 
9.7%
Lowercase Letter 120
 
1.4%
Uppercase Letter 24
 
0.3%
Space Separator 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1058
13.5%
2 902
11.5%
3 828
10.6%
4 806
10.3%
6 771
9.8%
5 757
9.7%
8 733
9.4%
7 705
9.0%
9 666
8.5%
0 608
7.8%
Lowercase Letter
ValueCountFrequency (%)
l 24
20.0%
a 24
20.0%
e 12
10.0%
o 12
10.0%
b 12
10.0%
i 12
10.0%
v 12
10.0%
t 12
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 12
50.0%
N 12
50.0%
Other Punctuation
ValueCountFrequency (%)
. 863
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8709
98.4%
Latin 144
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1058
12.1%
2 902
10.4%
. 863
9.9%
3 828
9.5%
4 806
9.3%
6 771
8.9%
5 757
8.7%
8 733
8.4%
7 705
8.1%
9 666
7.6%
Other values (2) 620
7.1%
Latin
ValueCountFrequency (%)
l 24
16.7%
a 24
16.7%
e 12
8.3%
o 12
8.3%
b 12
8.3%
i 12
8.3%
v 12
8.3%
A 12
8.3%
t 12
8.3%
N 12
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8853
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1058
12.0%
2 902
10.2%
. 863
9.7%
3 828
9.4%
4 806
9.1%
6 771
8.7%
5 757
8.6%
8 733
8.3%
7 705
8.0%
9 666
7.5%
Other values (12) 764
8.6%
Distinct960
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
2023-12-09T20:43:52.264509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.918
Min length1

Characters and Unicode

Total characters7918
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique931 ?
Unique (%)93.1%

Sample

1st row7032631.5
2nd row5072947.2
3rd row7556580.9
4th row4661846.8
5th row32021890.4
ValueCountFrequency (%)
not 12
 
1.2%
available 12
 
1.2%
479199.9 3
 
0.3%
634799.9 2
 
0.2%
759199.9 2
 
0.2%
511999.9 2
 
0.2%
800799.9 2
 
0.2%
771199.9 2
 
0.2%
397199.9 2
 
0.2%
368400 2
 
0.2%
Other values (951) 971
95.9%
2023-12-09T20:43:52.752755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 2009
25.4%
. 742
 
9.4%
1 679
 
8.6%
0 659
 
8.3%
3 586
 
7.4%
5 580
 
7.3%
7 546
 
6.9%
4 543
 
6.9%
2 486
 
6.1%
8 475
 
6.0%
Other values (12) 613
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7020
88.7%
Other Punctuation 742
 
9.4%
Lowercase Letter 120
 
1.5%
Uppercase Letter 24
 
0.3%
Space Separator 12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 2009
28.6%
1 679
 
9.7%
0 659
 
9.4%
3 586
 
8.3%
5 580
 
8.3%
7 546
 
7.8%
4 543
 
7.7%
2 486
 
6.9%
8 475
 
6.8%
6 457
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
l 24
20.0%
a 24
20.0%
b 12
10.0%
e 12
10.0%
o 12
10.0%
i 12
10.0%
v 12
10.0%
t 12
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 12
50.0%
N 12
50.0%
Other Punctuation
ValueCountFrequency (%)
. 742
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7774
98.2%
Latin 144
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
9 2009
25.8%
. 742
 
9.5%
1 679
 
8.7%
0 659
 
8.5%
3 586
 
7.5%
5 580
 
7.5%
7 546
 
7.0%
4 543
 
7.0%
2 486
 
6.3%
8 475
 
6.1%
Other values (2) 469
 
6.0%
Latin
ValueCountFrequency (%)
l 24
16.7%
a 24
16.7%
b 12
8.3%
e 12
8.3%
o 12
8.3%
i 12
8.3%
v 12
8.3%
A 12
8.3%
t 12
8.3%
N 12
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 2009
25.4%
. 742
 
9.4%
1 679
 
8.6%
0 659
 
8.3%
3 586
 
7.4%
5 580
 
7.3%
7 546
 
6.9%
4 543
 
6.9%
2 486
 
6.1%
8 475
 
6.0%
Other values (12) 613
 
7.7%
Distinct970
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T20:43:53.132571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.955
Min length1

Characters and Unicode

Total characters7955
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique955 ?
Unique (%)95.5%

Sample

1st row7032631.5
2nd row5055495
3rd row7446568.4
4th row4612102.7
5th row32021890.4
ValueCountFrequency (%)
not 16
 
1.6%
available 16
 
1.6%
479199.9 3
 
0.3%
694399.9 2
 
0.2%
359199.9 2
 
0.2%
368400 2
 
0.2%
695599.9 2
 
0.2%
485999.9 2
 
0.2%
545599.9 2
 
0.2%
521599.9 2
 
0.2%
Other values (961) 967
95.2%
2023-12-09T20:43:53.630796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1521
19.1%
. 749
9.4%
1 692
8.7%
0 675
8.5%
5 627
7.9%
7 621
7.8%
4 620
7.8%
3 619
7.8%
2 573
 
7.2%
6 534
 
6.7%
Other values (12) 724
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6998
88.0%
Other Punctuation 749
 
9.4%
Lowercase Letter 160
 
2.0%
Uppercase Letter 32
 
0.4%
Space Separator 16
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1521
21.7%
1 692
9.9%
0 675
9.6%
5 627
9.0%
7 621
8.9%
4 620
8.9%
3 619
8.8%
2 573
 
8.2%
6 534
 
7.6%
8 516
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
l 32
20.0%
a 32
20.0%
b 16
10.0%
e 16
10.0%
o 16
10.0%
i 16
10.0%
v 16
10.0%
t 16
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 16
50.0%
N 16
50.0%
Other Punctuation
ValueCountFrequency (%)
. 749
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7763
97.6%
Latin 192
 
2.4%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1521
19.6%
. 749
9.6%
1 692
8.9%
0 675
8.7%
5 627
8.1%
7 621
8.0%
4 620
8.0%
3 619
8.0%
2 573
 
7.4%
6 534
 
6.9%
Other values (2) 532
 
6.9%
Latin
ValueCountFrequency (%)
l 32
16.7%
a 32
16.7%
b 16
8.3%
e 16
8.3%
o 16
8.3%
i 16
8.3%
v 16
8.3%
A 16
8.3%
t 16
8.3%
N 16
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1521
19.1%
. 749
9.4%
1 692
8.7%
0 675
8.5%
5 627
7.9%
7 621
7.8%
4 620
7.8%
3 619
7.8%
2 573
 
7.2%
6 534
 
6.7%
Other values (12) 724
9.1%
Distinct947
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T20:43:54.020048image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.822
Min length1

Characters and Unicode

Total characters8822
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique907 ?
Unique (%)90.7%

Sample

1st row23995340.4
2nd row17308898.6
3rd row25783057.8
4th row15906222
5th row109258688.7
ValueCountFrequency (%)
not 12
 
1.2%
available 12
 
1.2%
1133875.8 3
 
0.3%
1635030.4 3
 
0.3%
1658232 3
 
0.3%
1572249.6 2
 
0.2%
0 2
 
0.2%
1491044 2
 
0.2%
4916009.6 2
 
0.2%
1561331.2 2
 
0.2%
Other values (938) 969
95.8%
2023-12-09T20:43:54.540385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1014
11.5%
2 924
10.5%
4 878
10.0%
. 847
9.6%
6 809
9.2%
8 776
8.8%
3 774
8.8%
5 715
8.1%
7 670
7.6%
9 635
7.2%
Other values (12) 780
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7819
88.6%
Other Punctuation 847
 
9.6%
Lowercase Letter 120
 
1.4%
Uppercase Letter 24
 
0.3%
Space Separator 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1014
13.0%
2 924
11.8%
4 878
11.2%
6 809
10.3%
8 776
9.9%
3 774
9.9%
5 715
9.1%
7 670
8.6%
9 635
8.1%
0 624
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 24
20.0%
a 24
20.0%
e 12
10.0%
o 12
10.0%
b 12
10.0%
i 12
10.0%
v 12
10.0%
t 12
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 12
50.0%
N 12
50.0%
Other Punctuation
ValueCountFrequency (%)
. 847
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8678
98.4%
Latin 144
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1014
11.7%
2 924
10.6%
4 878
10.1%
. 847
9.8%
6 809
9.3%
8 776
8.9%
3 774
8.9%
5 715
8.2%
7 670
7.7%
9 635
7.3%
Other values (2) 636
7.3%
Latin
ValueCountFrequency (%)
l 24
16.7%
a 24
16.7%
e 12
8.3%
o 12
8.3%
b 12
8.3%
i 12
8.3%
v 12
8.3%
A 12
8.3%
t 12
8.3%
N 12
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8822
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1014
11.5%
2 924
10.5%
4 878
10.0%
. 847
9.6%
6 809
9.2%
8 776
8.8%
3 774
8.8%
5 715
8.1%
7 670
7.6%
9 635
7.2%
Other values (12) 780
8.8%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:43:54.794673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.87
Min length6

Characters and Unicode

Total characters12870
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
431187.7 1
 
0.1%
440821.2 1
 
0.1%
450205.2 1
 
0.1%
1270940.3 1
 
0.1%
510548.8 1
 
0.1%
812738.4 1
 
0.1%
443614.9 1
 
0.1%
905290.9 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:43:55.182568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1182
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.7%
Uppercase Letter 1948
 
15.1%
Space Separator 974
 
7.6%
Decimal Number 184
 
1.4%
Other Punctuation 24
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 26
14.1%
8 24
13.0%
1 22
12.0%
3 19
10.3%
5 18
9.8%
0 18
9.8%
2 18
9.8%
7 17
9.2%
6 15
8.2%
9 7
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
o 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
90.8%
Common 1182
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
974
82.4%
4 26
 
2.2%
. 24
 
2.0%
8 24
 
2.0%
1 22
 
1.9%
3 19
 
1.6%
5 18
 
1.5%
0 18
 
1.5%
2 18
 
1.5%
7 17
 
1.4%
Other values (2) 22
 
1.9%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
o 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1182
9.2%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:43:55.431164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.851
Min length5

Characters and Unicode

Total characters12851
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
182686 1
 
0.1%
190412.2 1
 
0.1%
134726.9 1
 
0.1%
402877 1
 
0.1%
131947.6 1
 
0.1%
558800.9 1
 
0.1%
125059.3 1
 
0.1%
160618.8 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:43:55.808178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1163
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.8%
Uppercase Letter 1948
 
15.2%
Space Separator 974
 
7.6%
Decimal Number 171
 
1.3%
Other Punctuation 18
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
16.4%
2 21
12.3%
6 21
12.3%
7 18
10.5%
3 16
9.4%
5 15
8.8%
9 13
7.6%
8 13
7.6%
4 13
7.6%
0 13
7.6%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
o 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.0%
Common 1163
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
974
83.7%
1 28
 
2.4%
2 21
 
1.8%
6 21
 
1.8%
. 18
 
1.5%
7 18
 
1.5%
3 16
 
1.4%
5 15
 
1.3%
9 13
 
1.1%
8 13
 
1.1%
Other values (2) 26
 
2.2%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
o 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1163
9.0%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:43:56.015404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.759
Min length1

Characters and Unicode

Total characters12759
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 12
 
0.6%
60388.1 1
 
0.1%
24 1
 
0.1%
3112.8 1
 
0.1%
1987.9 1
 
0.1%
32504.9 1
 
0.1%
9170.2 1
 
0.1%
35893 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:43:56.351331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1071
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.3%
Uppercase Letter 1948
 
15.3%
Space Separator 974
 
7.6%
Decimal Number 86
 
0.7%
Other Punctuation 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
19.8%
2 11
12.8%
1 10
11.6%
8 9
10.5%
9 8
9.3%
3 8
9.3%
4 7
8.1%
6 7
8.1%
5 5
 
5.8%
7 4
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.6%
Common 1071
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
974
90.9%
0 17
 
1.6%
2 11
 
1.0%
. 11
 
1.0%
1 10
 
0.9%
8 9
 
0.8%
9 8
 
0.7%
3 8
 
0.7%
4 7
 
0.7%
6 7
 
0.7%
Other values (2) 9
 
0.8%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1071
8.4%
Distinct452
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-09T20:43:56.795739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length5.102
Min length1

Characters and Unicode

Total characters5102
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)29.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 141
 
12.4%
available 141
 
12.4%
328 11
 
1.0%
200 10
 
0.9%
300 10
 
0.9%
320 10
 
0.9%
224 9
 
0.8%
268 9
 
0.8%
336 8
 
0.7%
248 8
 
0.7%
Other values (443) 784
68.7%
2023-12-09T20:43:57.439476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 535
 
10.5%
1 409
 
8.0%
4 377
 
7.4%
. 360
 
7.1%
8 342
 
6.7%
6 290
 
5.7%
3 284
 
5.6%
a 282
 
5.5%
l 282
 
5.5%
0 232
 
4.5%
Other values (12) 1709
33.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2909
57.0%
Lowercase Letter 1410
27.6%
Other Punctuation 360
 
7.1%
Uppercase Letter 282
 
5.5%
Space Separator 141
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 535
18.4%
1 409
14.1%
4 377
13.0%
8 342
11.8%
6 290
10.0%
3 284
9.8%
0 232
8.0%
5 165
 
5.7%
7 148
 
5.1%
9 127
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
a 282
20.0%
l 282
20.0%
o 141
10.0%
e 141
10.0%
b 141
10.0%
i 141
10.0%
v 141
10.0%
t 141
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 141
50.0%
A 141
50.0%
Other Punctuation
ValueCountFrequency (%)
. 360
100.0%
Space Separator
ValueCountFrequency (%)
141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3410
66.8%
Latin 1692
33.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 535
15.7%
1 409
12.0%
4 377
11.1%
. 360
10.6%
8 342
10.0%
6 290
8.5%
3 284
8.3%
0 232
6.8%
5 165
 
4.8%
7 148
 
4.3%
Other values (2) 268
7.9%
Latin
ValueCountFrequency (%)
a 282
16.7%
l 282
16.7%
N 141
8.3%
o 141
8.3%
e 141
8.3%
b 141
8.3%
i 141
8.3%
v 141
8.3%
A 141
8.3%
t 141
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 535
 
10.5%
1 409
 
8.0%
4 377
 
7.4%
. 360
 
7.1%
8 342
 
6.7%
6 290
 
5.7%
3 284
 
5.6%
a 282
 
5.5%
l 282
 
5.5%
0 232
 
4.5%
Other values (12) 1709
33.5%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
2023-12-09T20:43:57.636230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.846
Min length7

Characters and Unicode

Total characters7846
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
09/2018 520
45.6%
not 141
 
12.4%
available 141
 
12.4%
06/2018 141
 
12.4%
08/2018 59
 
5.2%
10/2018 36
 
3.2%
01/2018 28
 
2.5%
05/2018 26
 
2.3%
07/2018 24
 
2.1%
11/2018 9
 
0.8%
Other values (4) 16
 
1.4%
2023-12-09T20:43:57.933906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1703
21.7%
1 947
12.1%
8 918
11.7%
2 869
11.1%
/ 859
10.9%
9 520
 
6.6%
a 282
 
3.6%
l 282
 
3.6%
6 141
 
1.8%
e 141
 
1.8%
Other values (12) 1184
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5154
65.7%
Lowercase Letter 1410
 
18.0%
Other Punctuation 859
 
10.9%
Uppercase Letter 282
 
3.6%
Space Separator 141
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1703
33.0%
1 947
18.4%
8 918
17.8%
2 869
16.9%
9 520
 
10.1%
6 141
 
2.7%
5 26
 
0.5%
7 24
 
0.5%
4 4
 
0.1%
3 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
a 282
20.0%
l 282
20.0%
e 141
10.0%
b 141
10.0%
i 141
10.0%
v 141
10.0%
t 141
10.0%
o 141
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 141
50.0%
N 141
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 859
100.0%
Space Separator
ValueCountFrequency (%)
141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6154
78.4%
Latin 1692
 
21.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1703
27.7%
1 947
15.4%
8 918
14.9%
2 869
14.1%
/ 859
14.0%
9 520
 
8.4%
6 141
 
2.3%
141
 
2.3%
5 26
 
0.4%
7 24
 
0.4%
Other values (2) 6
 
0.1%
Latin
ValueCountFrequency (%)
a 282
16.7%
l 282
16.7%
e 141
8.3%
b 141
8.3%
i 141
8.3%
v 141
8.3%
A 141
8.3%
t 141
8.3%
o 141
8.3%
N 141
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1703
21.7%
1 947
12.1%
8 918
11.7%
2 869
11.1%
/ 859
10.9%
9 520
 
6.6%
a 282
 
3.6%
l 282
 
3.6%
6 141
 
1.8%
e 141
 
1.8%
Other values (12) 1184
15.1%
Distinct860
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size72.7 KiB
2023-12-09T20:43:58.275751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length18
Mean length17.335
Min length13

Characters and Unicode

Total characters17335
Distinct characters36
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique859 ?
Unique (%)85.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 141
 
7.0%
available 141
 
7.0%
7896402 1
 
< 0.1%
0201212e 1
 
< 0.1%
0400185e 1
 
< 0.1%
8013738 1
 
< 0.1%
0400137e 1
 
< 0.1%
8080100 1
 
< 0.1%
0200173e 1
 
< 0.1%
8124356 1
 
< 0.1%
Other values (1716) 1716
85.5%
2023-12-09T20:43:58.751937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3558
20.5%
3 1206
 
7.0%
7 1198
 
6.9%
1 1153
 
6.7%
8 1104
 
6.4%
1006
 
5.8%
E 860
 
5.0%
( 859
 
5.0%
) 859
 
5.0%
9 857
 
4.9%
Other values (26) 4675
27.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12030
69.4%
Lowercase Letter 1434
 
8.3%
Uppercase Letter 1145
 
6.6%
Space Separator 1006
 
5.8%
Open Punctuation 859
 
5.0%
Close Punctuation 859
 
5.0%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 284
19.8%
a 283
19.7%
t 144
10.0%
o 144
10.0%
e 144
10.0%
i 143
10.0%
b 141
9.8%
v 141
9.8%
c 2
 
0.1%
r 2
 
0.1%
Other values (5) 6
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 3558
29.6%
3 1206
 
10.0%
7 1198
 
10.0%
1 1153
 
9.6%
8 1104
 
9.2%
9 857
 
7.1%
2 848
 
7.0%
4 839
 
7.0%
5 667
 
5.5%
6 600
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
E 860
75.1%
N 141
 
12.3%
A 141
 
12.3%
S 1
 
0.1%
C 1
 
0.1%
M 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1006
100.0%
Open Punctuation
ValueCountFrequency (%)
( 859
100.0%
Close Punctuation
ValueCountFrequency (%)
) 859
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14756
85.1%
Latin 2579
 
14.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 860
33.3%
l 284
 
11.0%
a 283
 
11.0%
t 144
 
5.6%
o 144
 
5.6%
e 144
 
5.6%
i 143
 
5.5%
N 141
 
5.5%
b 141
 
5.5%
v 141
 
5.5%
Other values (11) 154
 
6.0%
Common
ValueCountFrequency (%)
0 3558
24.1%
3 1206
 
8.2%
7 1198
 
8.1%
1 1153
 
7.8%
8 1104
 
7.5%
1006
 
6.8%
( 859
 
5.8%
) 859
 
5.8%
9 857
 
5.8%
2 848
 
5.7%
Other values (5) 2108
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3558
20.5%
3 1206
 
7.0%
7 1198
 
6.9%
1 1153
 
6.7%
8 1104
 
6.4%
1006
 
5.8%
E 860
 
5.0%
( 859
 
5.0%
) 859
 
5.0%
9 857
 
4.9%
Other values (26) 4675
27.0%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:43:58.998759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.845
Min length1

Characters and Unicode

Total characters12845
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 2
 
0.1%
226093.4 1
 
0.1%
403526.9 1
 
0.1%
121946.5 1
 
0.1%
160618.8 1
 
0.1%
130016.1 1
 
0.1%
131947.6 1
 
0.1%
126373.9 1
 
0.1%
Other values (17) 17
 
0.9%
2023-12-09T20:43:59.374533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1157
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.8%
Uppercase Letter 1948
 
15.2%
Space Separator 974
 
7.6%
Decimal Number 163
 
1.3%
Other Punctuation 20
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
17.2%
2 21
12.9%
3 21
12.9%
9 16
9.8%
6 16
9.8%
7 14
8.6%
4 13
8.0%
5 12
7.4%
0 12
7.4%
8 10
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
o 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.0%
Common 1157
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
974
84.2%
1 28
 
2.4%
2 21
 
1.8%
3 21
 
1.8%
. 20
 
1.7%
9 16
 
1.4%
6 16
 
1.4%
7 14
 
1.2%
4 13
 
1.1%
5 12
 
1.0%
Other values (2) 22
 
1.9%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
o 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12845
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1157
9.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2023-12-09T20:43:59.508349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.15
Min length1

Characters and Unicode

Total characters1150
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 987
97.5%
not 12
 
1.2%
available 12
 
1.2%
4239700 1
 
0.1%
2023-12-09T20:43:59.745301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 989
86.0%
a 24
 
2.1%
l 24
 
2.1%
e 12
 
1.0%
b 12
 
1.0%
N 12
 
1.0%
i 12
 
1.0%
v 12
 
1.0%
A 12
 
1.0%
12
 
1.0%
Other values (7) 29
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 994
86.4%
Lowercase Letter 120
 
10.4%
Uppercase Letter 24
 
2.1%
Space Separator 12
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 24
20.0%
l 24
20.0%
e 12
10.0%
b 12
10.0%
i 12
10.0%
v 12
10.0%
t 12
10.0%
o 12
10.0%
Decimal Number
ValueCountFrequency (%)
0 989
99.5%
4 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 12
50.0%
A 12
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1006
87.5%
Latin 144
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 24
16.7%
l 24
16.7%
e 12
8.3%
b 12
8.3%
N 12
8.3%
i 12
8.3%
v 12
8.3%
A 12
8.3%
t 12
8.3%
o 12
8.3%
Common
ValueCountFrequency (%)
0 989
98.3%
12
 
1.2%
4 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 989
86.0%
a 24
 
2.1%
l 24
 
2.1%
e 12
 
1.0%
b 12
 
1.0%
N 12
 
1.0%
i 12
 
1.0%
v 12
 
1.0%
A 12
 
1.0%
12
 
1.0%
Other values (7) 29
 
2.5%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:43:59.960634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.763
Min length1

Characters and Unicode

Total characters12763
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 2
 
0.1%
127.9 1
 
0.1%
109 1
 
0.1%
178.4 1
 
0.1%
77.4 1
 
0.1%
44.6 1
 
0.1%
88.2 1
 
0.1%
56.8 1
 
0.1%
Other values (17) 17
 
0.9%
2023-12-09T20:44:00.303958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
e 974
7.6%
i 974
7.6%
b 974
7.6%
v 974
7.6%
A 974
7.6%
974
7.6%
Other values (12) 1075
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.3%
Uppercase Letter 1948
 
15.3%
Space Separator 974
 
7.6%
Decimal Number 79
 
0.6%
Other Punctuation 22
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 11
13.9%
1 11
13.9%
8 10
12.7%
2 10
12.7%
5 8
10.1%
7 8
10.1%
9 7
8.9%
0 6
7.6%
4 6
7.6%
3 2
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
e 974
10.0%
i 974
10.0%
b 974
10.0%
v 974
10.0%
t 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.6%
Common 1075
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
974
90.6%
. 22
 
2.0%
6 11
 
1.0%
1 11
 
1.0%
8 10
 
0.9%
2 10
 
0.9%
5 8
 
0.7%
7 8
 
0.7%
9 7
 
0.7%
0 6
 
0.6%
Other values (2) 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
e 974
8.3%
i 974
8.3%
b 974
8.3%
v 974
8.3%
A 974
8.3%
t 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12763
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
e 974
7.6%
i 974
7.6%
b 974
7.6%
v 974
7.6%
A 974
7.6%
974
7.6%
Other values (12) 1075
8.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2023-12-09T20:44:00.435697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.137
Min length1

Characters and Unicode

Total characters1137
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 988
97.7%
not 11
 
1.1%
available 11
 
1.1%
1402.7 1
 
0.1%
2023-12-09T20:44:00.678981image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 989
87.0%
a 22
 
1.9%
l 22
 
1.9%
e 11
 
1.0%
b 11
 
1.0%
N 11
 
1.0%
i 11
 
1.0%
v 11
 
1.0%
A 11
 
1.0%
11
 
1.0%
Other values (7) 27
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 993
87.3%
Lowercase Letter 110
 
9.7%
Uppercase Letter 22
 
1.9%
Space Separator 11
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 22
20.0%
l 22
20.0%
e 11
10.0%
b 11
10.0%
i 11
10.0%
v 11
10.0%
t 11
10.0%
o 11
10.0%
Decimal Number
ValueCountFrequency (%)
0 989
99.6%
1 1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
7 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 11
50.0%
A 11
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1005
88.4%
Latin 132
 
11.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 22
16.7%
l 22
16.7%
e 11
8.3%
b 11
8.3%
N 11
8.3%
i 11
8.3%
v 11
8.3%
A 11
8.3%
t 11
8.3%
o 11
8.3%
Common
ValueCountFrequency (%)
0 989
98.4%
11
 
1.1%
1 1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 989
87.0%
a 22
 
1.9%
l 22
 
1.9%
e 11
 
1.0%
b 11
 
1.0%
N 11
 
1.0%
i 11
 
1.0%
v 11
 
1.0%
A 11
 
1.0%
11
 
1.0%
Other values (7) 27
 
2.4%
Distinct946
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:44:01.062258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.984
Min length1

Characters and Unicode

Total characters4984
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique901 ?
Unique (%)90.1%

Sample

1st row2520.9
2nd row2895.1
3rd row3155.8
4th row2826.2
5th row12179.3
ValueCountFrequency (%)
0 10
 
1.0%
421.7 3
 
0.3%
432.5 2
 
0.2%
408 2
 
0.2%
702.5 2
 
0.2%
367.5 2
 
0.2%
not 2
 
0.2%
available 2
 
0.2%
759.8 2
 
0.2%
677 2
 
0.2%
Other values (937) 973
97.1%
2023-12-09T20:44:01.586438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 883
17.7%
1 505
10.1%
4 482
9.7%
5 463
9.3%
6 434
8.7%
2 432
8.7%
3 426
8.5%
7 387
7.8%
8 373
7.5%
9 341
 
6.8%
Other values (12) 258
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4075
81.8%
Other Punctuation 883
 
17.7%
Lowercase Letter 20
 
0.4%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 505
12.4%
4 482
11.8%
5 463
11.4%
6 434
10.7%
2 432
10.6%
3 426
10.5%
7 387
9.5%
8 373
9.2%
9 341
8.4%
0 232
5.7%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
v 2
10.0%
b 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 883
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4960
99.5%
Latin 24
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 883
17.8%
1 505
10.2%
4 482
9.7%
5 463
9.3%
6 434
8.8%
2 432
8.7%
3 426
8.6%
7 387
7.8%
8 373
7.5%
9 341
 
6.9%
Other values (2) 234
 
4.7%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
v 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 883
17.7%
1 505
10.1%
4 482
9.7%
5 463
9.3%
6 434
8.7%
2 432
8.7%
3 426
8.5%
7 387
7.8%
8 373
7.5%
9 341
 
6.8%
Other values (12) 258
 
5.2%
Distinct869
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:44:02.065440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.483
Min length1

Characters and Unicode

Total characters4483
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique808 ?
Unique (%)80.8%

Sample

1st row0
2nd row0
3rd row51.2
4th row0
5th row1991.7
ValueCountFrequency (%)
0 69
 
6.9%
277.9 3
 
0.3%
331.8 3
 
0.3%
110.4 3
 
0.3%
145.4 2
 
0.2%
3.4 2
 
0.2%
274.9 2
 
0.2%
279.6 2
 
0.2%
72.7 2
 
0.2%
239.1 2
 
0.2%
Other values (860) 912
91.0%
2023-12-09T20:44:02.671578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 837
18.7%
3 496
11.1%
2 495
11.0%
1 467
10.4%
4 406
9.1%
7 333
 
7.4%
5 325
 
7.2%
8 291
 
6.5%
6 287
 
6.4%
9 278
 
6.2%
Other values (12) 268
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3620
80.7%
Other Punctuation 837
 
18.7%
Lowercase Letter 20
 
0.4%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 496
13.7%
2 495
13.7%
1 467
12.9%
4 406
11.2%
7 333
9.2%
5 325
9.0%
8 291
8.0%
6 287
7.9%
9 278
7.7%
0 242
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
v 2
10.0%
b 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 837
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4459
99.5%
Latin 24
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 837
18.8%
3 496
11.1%
2 495
11.1%
1 467
10.5%
4 406
9.1%
7 333
 
7.5%
5 325
 
7.3%
8 291
 
6.5%
6 287
 
6.4%
9 278
 
6.2%
Other values (2) 244
 
5.5%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
v 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4483
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 837
18.7%
3 496
11.1%
2 495
11.0%
1 467
10.4%
4 406
9.1%
7 333
 
7.4%
5 325
 
7.2%
8 291
 
6.5%
6 287
 
6.4%
9 278
 
6.2%
Other values (12) 268
 
6.0%
Distinct877
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size60.5 KiB
2023-12-09T20:44:03.148007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.796
Min length1

Characters and Unicode

Total characters4796
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique784 ?
Unique (%)78.4%

Sample

1st row2520.9
2nd row2895.1
3rd row3104.7
4th row2826.2
5th row10187.6
ValueCountFrequency (%)
0 17
 
1.7%
133.3 4
 
0.4%
114.8 3
 
0.3%
227.2 3
 
0.3%
103.8 3
 
0.3%
106.5 3
 
0.3%
140.4 3
 
0.3%
124.1 3
 
0.3%
154.4 3
 
0.3%
143 3
 
0.3%
Other values (868) 957
95.5%
2023-12-09T20:44:03.753113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 896
18.7%
1 764
15.9%
2 492
10.3%
3 408
8.5%
4 369
7.7%
6 336
 
7.0%
9 326
 
6.8%
5 320
 
6.7%
7 315
 
6.6%
8 305
 
6.4%
Other values (13) 265
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3872
80.7%
Other Punctuation 896
 
18.7%
Lowercase Letter 20
 
0.4%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 764
19.7%
2 492
12.7%
3 408
10.5%
4 369
9.5%
6 336
8.7%
9 326
8.4%
5 320
8.3%
7 315
8.1%
8 305
 
7.9%
0 237
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
l 4
20.0%
e 2
10.0%
b 2
10.0%
i 2
10.0%
v 2
10.0%
t 2
10.0%
o 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 896
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4772
99.5%
Latin 24
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 896
18.8%
1 764
16.0%
2 492
10.3%
3 408
8.5%
4 369
7.7%
6 336
 
7.0%
9 326
 
6.8%
5 320
 
6.7%
7 315
 
6.6%
8 305
 
6.4%
Other values (3) 241
 
5.1%
Latin
ValueCountFrequency (%)
a 4
16.7%
l 4
16.7%
e 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
v 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 896
18.7%
1 764
15.9%
2 492
10.3%
3 408
8.5%
4 369
7.7%
6 336
 
7.0%
9 326
 
6.8%
5 320
 
6.7%
7 315
 
6.6%
8 305
 
6.4%
Other values (13) 265
 
5.5%
Distinct972
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:44:04.212965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.07
Min length2

Characters and Unicode

Total characters5070
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique944 ?
Unique (%)94.4%

Sample

1st row3948.2
2nd row3416.7
3rd row3939.5
4th row3448
5th row11025.4
ValueCountFrequency (%)
379.7 2
 
0.2%
248.2 2
 
0.2%
463.5 2
 
0.2%
487.9 2
 
0.2%
1400 2
 
0.2%
624.2 2
 
0.2%
737.9 2
 
0.2%
636.4 2
 
0.2%
818.7 2
 
0.2%
553.7 2
 
0.2%
Other values (963) 981
98.0%
2023-12-09T20:44:04.797363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 890
17.6%
4 492
9.7%
1 489
9.6%
5 466
9.2%
7 443
8.7%
6 437
8.6%
3 432
8.5%
2 420
8.3%
8 369
7.3%
9 363
7.2%
Other values (12) 269
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4167
82.2%
Other Punctuation 890
 
17.6%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 492
11.8%
1 489
11.7%
5 466
11.2%
7 443
10.6%
6 437
10.5%
3 432
10.4%
2 420
10.1%
8 369
8.9%
9 363
8.7%
0 256
6.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 890
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5058
99.8%
Latin 12
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 890
17.6%
4 492
9.7%
1 489
9.7%
5 466
9.2%
7 443
8.8%
6 437
8.6%
3 432
8.5%
2 420
8.3%
8 369
7.3%
9 363
7.2%
Other values (2) 257
 
5.1%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5070
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 890
17.6%
4 492
9.7%
1 489
9.6%
5 466
9.2%
7 443
8.7%
6 437
8.6%
3 432
8.5%
2 420
8.3%
8 369
7.3%
9 363
7.2%
Other values (12) 269
 
5.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:44:04.935151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.04
Min length2

Characters and Unicode

Total characters2040
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 990
98.7%
yes 7
 
0.7%
not 3
 
0.3%
available 3
 
0.3%
2023-12-09T20:44:05.188482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 993
48.7%
o 993
48.7%
e 10
 
0.5%
Y 7
 
0.3%
s 7
 
0.3%
a 6
 
0.3%
l 6
 
0.3%
t 3
 
0.1%
3
 
0.1%
A 3
 
0.1%
Other values (3) 9
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1034
50.7%
Uppercase Letter 1003
49.2%
Space Separator 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 993
96.0%
e 10
 
1.0%
s 7
 
0.7%
a 6
 
0.6%
l 6
 
0.6%
t 3
 
0.3%
v 3
 
0.3%
i 3
 
0.3%
b 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 993
99.0%
Y 7
 
0.7%
A 3
 
0.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2037
99.9%
Common 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 993
48.7%
o 993
48.7%
e 10
 
0.5%
Y 7
 
0.3%
s 7
 
0.3%
a 6
 
0.3%
l 6
 
0.3%
t 3
 
0.1%
A 3
 
0.1%
v 3
 
0.1%
Other values (2) 6
 
0.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 993
48.7%
o 993
48.7%
e 10
 
0.5%
Y 7
 
0.3%
s 7
 
0.3%
a 6
 
0.3%
l 6
 
0.3%
t 3
 
0.1%
3
 
0.1%
A 3
 
0.1%
Other values (3) 9
 
0.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size58.4 KiB
2023-12-09T20:44:05.316732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.65
Min length2

Characters and Unicode

Total characters2650
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNo
4th rowNot Available
5th rowNo
ValueCountFrequency (%)
no 940
88.8%
not 59
 
5.6%
available 59
 
5.6%
yes 1
 
0.1%
2023-12-09T20:44:05.558511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 999
37.7%
o 999
37.7%
a 118
 
4.5%
l 118
 
4.5%
e 60
 
2.3%
t 59
 
2.2%
59
 
2.2%
A 59
 
2.2%
v 59
 
2.2%
i 59
 
2.2%
Other values (3) 61
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1532
57.8%
Uppercase Letter 1059
40.0%
Space Separator 59
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 999
65.2%
a 118
 
7.7%
l 118
 
7.7%
e 60
 
3.9%
t 59
 
3.9%
v 59
 
3.9%
i 59
 
3.9%
b 59
 
3.9%
s 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
94.3%
A 59
 
5.6%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2591
97.8%
Common 59
 
2.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 999
38.6%
o 999
38.6%
a 118
 
4.6%
l 118
 
4.6%
e 60
 
2.3%
t 59
 
2.3%
A 59
 
2.3%
v 59
 
2.3%
i 59
 
2.3%
b 59
 
2.3%
Other values (2) 2
 
0.1%
Common
ValueCountFrequency (%)
59
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 999
37.7%
o 999
37.7%
a 118
 
4.5%
l 118
 
4.5%
e 60
 
2.3%
t 59
 
2.2%
59
 
2.2%
A 59
 
2.2%
v 59
 
2.2%
i 59
 
2.2%
Other values (3) 61
 
2.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
2023-12-09T20:44:05.724080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length6.807
Min length2

Characters and Unicode

Total characters6807
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
no 563
39.2%
not 437
30.4%
available 437
30.4%
2023-12-09T20:44:06.009656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1000
14.7%
o 1000
14.7%
a 874
12.8%
l 874
12.8%
t 437
6.4%
437
6.4%
A 437
6.4%
v 437
6.4%
i 437
6.4%
b 437
6.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4933
72.5%
Uppercase Letter 1437
 
21.1%
Space Separator 437
 
6.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1000
20.3%
a 874
17.7%
l 874
17.7%
t 437
8.9%
v 437
8.9%
i 437
8.9%
b 437
8.9%
e 437
8.9%
Uppercase Letter
ValueCountFrequency (%)
N 1000
69.6%
A 437
30.4%
Space Separator
ValueCountFrequency (%)
437
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6370
93.6%
Common 437
 
6.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1000
15.7%
o 1000
15.7%
a 874
13.7%
l 874
13.7%
t 437
6.9%
A 437
6.9%
v 437
6.9%
i 437
6.9%
b 437
6.9%
e 437
6.9%
Common
ValueCountFrequency (%)
437
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1000
14.7%
o 1000
14.7%
a 874
12.8%
l 874
12.8%
t 437
6.4%
437
6.4%
A 437
6.4%
v 437
6.4%
i 437
6.4%
b 437
6.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T20:44:06.184373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.612
Min length2

Characters and Unicode

Total characters9612
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 692
40.9%
available 692
40.9%
no 308
18.2%
2023-12-09T20:44:06.483636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1384
14.4%
l 1384
14.4%
N 1000
10.4%
o 1000
10.4%
t 692
7.2%
692
7.2%
A 692
7.2%
v 692
7.2%
i 692
7.2%
b 692
7.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7228
75.2%
Uppercase Letter 1692
 
17.6%
Space Separator 692
 
7.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1384
19.1%
l 1384
19.1%
o 1000
13.8%
t 692
9.6%
v 692
9.6%
i 692
9.6%
b 692
9.6%
e 692
9.6%
Uppercase Letter
ValueCountFrequency (%)
N 1000
59.1%
A 692
40.9%
Space Separator
ValueCountFrequency (%)
692
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8920
92.8%
Common 692
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1384
15.5%
l 1384
15.5%
N 1000
11.2%
o 1000
11.2%
t 692
7.8%
A 692
7.8%
v 692
7.8%
i 692
7.8%
b 692
7.8%
e 692
7.8%
Common
ValueCountFrequency (%)
692
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1384
14.4%
l 1384
14.4%
N 1000
10.4%
o 1000
10.4%
t 692
7.2%
692
7.2%
A 692
7.2%
v 692
7.2%
i 692
7.2%
b 692
7.2%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size66.2 KiB
2023-12-09T20:44:06.652494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.679
Min length2

Characters and Unicode

Total characters10679
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 789
44.1%
available 789
44.1%
no 211
 
11.8%
2023-12-09T20:44:06.931987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1578
14.8%
l 1578
14.8%
N 1000
9.4%
o 1000
9.4%
t 789
7.4%
789
7.4%
A 789
7.4%
v 789
7.4%
i 789
7.4%
b 789
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8101
75.9%
Uppercase Letter 1789
 
16.8%
Space Separator 789
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1578
19.5%
l 1578
19.5%
o 1000
12.3%
t 789
9.7%
v 789
9.7%
i 789
9.7%
b 789
9.7%
e 789
9.7%
Uppercase Letter
ValueCountFrequency (%)
N 1000
55.9%
A 789
44.1%
Space Separator
ValueCountFrequency (%)
789
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9890
92.6%
Common 789
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1578
16.0%
l 1578
16.0%
N 1000
10.1%
o 1000
10.1%
t 789
8.0%
A 789
8.0%
v 789
8.0%
i 789
8.0%
b 789
8.0%
e 789
8.0%
Common
ValueCountFrequency (%)
789
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10679
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1578
14.8%
l 1578
14.8%
N 1000
9.4%
o 1000
9.4%
t 789
7.4%
789
7.4%
A 789
7.4%
v 789
7.4%
i 789
7.4%
b 789
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T20:44:07.105055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.607
Min length2

Characters and Unicode

Total characters11607
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
not 873
46.6%
available 873
46.6%
no 123
 
6.6%
yes 4
 
0.2%
2023-12-09T20:44:07.392861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1746
15.0%
l 1746
15.0%
N 996
8.6%
o 996
8.6%
e 877
7.6%
t 873
7.5%
873
7.5%
A 873
7.5%
v 873
7.5%
i 873
7.5%
Other values (3) 881
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8861
76.3%
Uppercase Letter 1873
 
16.1%
Space Separator 873
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1746
19.7%
l 1746
19.7%
o 996
11.2%
e 877
9.9%
t 873
9.9%
v 873
9.9%
i 873
9.9%
b 873
9.9%
s 4
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
53.2%
A 873
46.6%
Y 4
 
0.2%
Space Separator
ValueCountFrequency (%)
873
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10734
92.5%
Common 873
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1746
16.3%
l 1746
16.3%
N 996
9.3%
o 996
9.3%
e 877
8.2%
t 873
8.1%
A 873
8.1%
v 873
8.1%
i 873
8.1%
b 873
8.1%
Other values (2) 8
 
0.1%
Common
ValueCountFrequency (%)
873
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1746
15.0%
l 1746
15.0%
N 996
8.6%
o 996
8.6%
e 877
7.6%
t 873
7.5%
873
7.5%
A 873
7.5%
v 873
7.5%
i 873
7.5%
Other values (3) 881
7.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:44:07.527193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.007
Min length4

Characters and Unicode

Total characters4007
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row84.7
2nd row84.7
3rd row84.7
4th row84.7
5th row84.7
ValueCountFrequency (%)
84.7 993
99.3%
215.7 6
 
0.6%
107.7 1
 
0.1%
2023-12-09T20:44:07.776022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1001
25.0%
. 1000
25.0%
8 993
24.8%
4 993
24.8%
1 7
 
0.2%
2 6
 
0.1%
5 6
 
0.1%
0 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3007
75.0%
Other Punctuation 1000
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1001
33.3%
8 993
33.0%
4 993
33.0%
1 7
 
0.2%
2 6
 
0.2%
5 6
 
0.2%
0 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4007
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1001
25.0%
. 1000
25.0%
8 993
24.8%
4 993
24.8%
1 7
 
0.2%
2 6
 
0.1%
5 6
 
0.1%
0 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4007
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1001
25.0%
. 1000
25.0%
8 993
24.8%
4 993
24.8%
1 7
 
0.2%
2 6
 
0.1%
5 6
 
0.1%
0 1
 
< 0.1%
Distinct945
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T20:44:08.219965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.959
Min length1

Characters and Unicode

Total characters4959
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique901 ?
Unique (%)90.1%

Sample

1st row2520.9
2nd row2895.1
3rd row3155.8
4th row2826.2
5th row12179.3
ValueCountFrequency (%)
0 12
 
1.2%
421.7 3
 
0.3%
368.5 2
 
0.2%
416.4 2
 
0.2%
408 2
 
0.2%
367.5 2
 
0.2%
702.5 2
 
0.2%
413.3 2
 
0.2%
580.7 2
 
0.2%
747.2 2
 
0.2%
Other values (935) 969
96.9%
2023-12-09T20:44:08.803002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 883
17.8%
1 503
10.1%
4 482
9.7%
5 463
9.3%
2 433
8.7%
6 433
8.7%
3 426
8.6%
7 387
7.8%
8 373
7.5%
9 341
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4076
82.2%
Other Punctuation 883
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 503
12.3%
4 482
11.8%
5 463
11.4%
2 433
10.6%
6 433
10.6%
3 426
10.5%
7 387
9.5%
8 373
9.2%
9 341
8.4%
0 235
5.8%
Other Punctuation
ValueCountFrequency (%)
. 883
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4959
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 883
17.8%
1 503
10.1%
4 482
9.7%
5 463
9.3%
2 433
8.7%
6 433
8.7%
3 426
8.6%
7 387
7.8%
8 373
7.5%
9 341
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 883
17.8%
1 503
10.1%
4 482
9.7%
5 463
9.3%
2 433
8.7%
6 433
8.7%
3 426
8.6%
7 387
7.8%
8 373
7.5%
9 341
 
6.9%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
2023-12-09T20:44:09.008721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.335
Min length1

Characters and Unicode

Total characters1335
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 961
94.8%
available 14
 
1.4%
not 14
 
1.4%
10.29959 1
 
0.1%
24.82398 1
 
0.1%
23.31422 1
 
0.1%
16.15672 1
 
0.1%
11.39096 1
 
0.1%
12.63598 1
 
0.1%
2.012421 1
 
0.1%
Other values (18) 18
 
1.8%
2023-12-09T20:44:09.332285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 970
72.7%
l 28
 
2.1%
1 28
 
2.1%
a 28
 
2.1%
2 24
 
1.8%
. 24
 
1.8%
3 23
 
1.7%
9 20
 
1.5%
6 16
 
1.2%
7 15
 
1.1%
Other values (12) 159
 
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1129
84.6%
Lowercase Letter 140
 
10.5%
Uppercase Letter 28
 
2.1%
Other Punctuation 24
 
1.8%
Space Separator 14
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 970
85.9%
1 28
 
2.5%
2 24
 
2.1%
3 23
 
2.0%
9 20
 
1.8%
6 16
 
1.4%
7 15
 
1.3%
5 12
 
1.1%
4 11
 
1.0%
8 10
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
l 28
20.0%
a 28
20.0%
i 14
10.0%
b 14
10.0%
v 14
10.0%
t 14
10.0%
o 14
10.0%
e 14
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 14
50.0%
A 14
50.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1167
87.4%
Latin 168
 
12.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 970
83.1%
1 28
 
2.4%
2 24
 
2.1%
. 24
 
2.1%
3 23
 
2.0%
9 20
 
1.7%
6 16
 
1.4%
7 15
 
1.3%
14
 
1.2%
5 12
 
1.0%
Other values (2) 21
 
1.8%
Latin
ValueCountFrequency (%)
l 28
16.7%
a 28
16.7%
i 14
8.3%
b 14
8.3%
N 14
8.3%
v 14
8.3%
A 14
8.3%
t 14
8.3%
o 14
8.3%
e 14
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 970
72.7%
l 28
 
2.1%
1 28
 
2.1%
a 28
 
2.1%
2 24
 
1.8%
. 24
 
1.8%
3 23
 
1.7%
9 20
 
1.5%
6 16
 
1.2%
7 15
 
1.1%
Other values (12) 159
 
11.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:44:09.512636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.736
Min length1

Characters and Unicode

Total characters12736
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
100 24
 
1.2%
0 2
 
0.1%
2023-12-09T20:44:09.795720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (3) 1048
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.5%
Uppercase Letter 1948
 
15.3%
Space Separator 974
 
7.6%
Decimal Number 74
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Decimal Number
ValueCountFrequency (%)
0 50
67.6%
1 24
32.4%
Space Separator
ValueCountFrequency (%)
974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.8%
Common 1048
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
Common
ValueCountFrequency (%)
974
92.9%
0 50
 
4.8%
1 24
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (3) 1048
8.2%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:10.038617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.867
Min length6

Characters and Unicode

Total characters12867
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
24.82398 1
 
0.1%
23.31422 1
 
0.1%
16.15672 1
 
0.1%
11.39096 1
 
0.1%
12.63598 1
 
0.1%
2.012421 1
 
0.1%
7.136373 1
 
0.1%
23.25479 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:44:10.432034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1179
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.7%
Uppercase Letter 1948
 
15.1%
Space Separator 974
 
7.6%
Decimal Number 179
 
1.4%
Other Punctuation 26
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
15.6%
3 25
14.0%
2 24
13.4%
9 22
12.3%
7 16
8.9%
6 16
8.9%
5 15
8.4%
4 14
7.8%
8 11
 
6.1%
0 8
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
90.8%
Common 1179
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
974
82.6%
1 28
 
2.4%
. 26
 
2.2%
3 25
 
2.1%
2 24
 
2.0%
9 22
 
1.9%
7 16
 
1.4%
6 16
 
1.4%
5 15
 
1.3%
4 14
 
1.2%
Other values (2) 19
 
1.6%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12867
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1179
9.2%

costar_property_id
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:10.615600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:10.902741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:11.150327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.928
Min length10

Characters and Unicode

Total characters12928
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1000074571
4th rowNot Available
5th row1000098026
ValueCountFrequency (%)
not 976
49.4%
available 976
49.4%
1000011766 1
 
0.1%
1000003971 1
 
0.1%
1000109552 1
 
0.1%
1000105134 1
 
0.1%
1000085267 1
 
0.1%
1000019934 1
 
0.1%
1000000364 1
 
0.1%
1000085245 1
 
0.1%
Other values (16) 16
 
0.8%
2023-12-09T20:44:11.526664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1952
15.1%
l 1952
15.1%
N 976
7.5%
o 976
7.5%
b 976
7.5%
i 976
7.5%
e 976
7.5%
v 976
7.5%
A 976
7.5%
976
7.5%
Other values (11) 1216
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9760
75.5%
Uppercase Letter 1952
 
15.1%
Space Separator 976
 
7.5%
Decimal Number 240
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
44.6%
1 39
 
16.2%
8 16
 
6.7%
5 14
 
5.8%
6 13
 
5.4%
4 11
 
4.6%
7 11
 
4.6%
3 10
 
4.2%
2 10
 
4.2%
9 9
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1952
20.0%
l 1952
20.0%
o 976
10.0%
b 976
10.0%
i 976
10.0%
e 976
10.0%
v 976
10.0%
t 976
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 976
50.0%
A 976
50.0%
Space Separator
ValueCountFrequency (%)
976
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11712
90.6%
Common 1216
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
976
80.3%
0 107
 
8.8%
1 39
 
3.2%
8 16
 
1.3%
5 14
 
1.2%
6 13
 
1.1%
4 11
 
0.9%
7 11
 
0.9%
3 10
 
0.8%
2 10
 
0.8%
Latin
ValueCountFrequency (%)
a 1952
16.7%
l 1952
16.7%
N 976
8.3%
o 976
8.3%
b 976
8.3%
i 976
8.3%
e 976
8.3%
v 976
8.3%
A 976
8.3%
t 976
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12928
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1952
15.1%
l 1952
15.1%
N 976
7.5%
o 976
7.5%
b 976
7.5%
i 976
7.5%
e 976
7.5%
v 976
7.5%
A 976
7.5%
976
7.5%
Other values (11) 1216
9.4%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:11.704446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:11.978219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:12.144779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:12.443084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:12.650789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.838
Min length1

Characters and Unicode

Total characters12838
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st row5227
2nd row2115
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 981
49.5%
available 981
49.5%
16983 1
 
0.1%
19664 1
 
0.1%
2115 1
 
0.1%
13411 1
 
0.1%
7059 1
 
0.1%
13020 1
 
0.1%
9144 1
 
0.1%
13106 1
 
0.1%
Other values (11) 11
 
0.6%
2023-12-09T20:44:12.981158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1962
15.3%
l 1962
15.3%
N 981
7.6%
o 981
7.6%
b 981
7.6%
i 981
7.6%
e 981
7.6%
v 981
7.6%
A 981
7.6%
981
7.6%
Other values (11) 1066
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9810
76.4%
Uppercase Letter 1962
 
15.3%
Space Separator 981
 
7.6%
Decimal Number 85
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
24.7%
4 12
14.1%
2 12
14.1%
0 9
10.6%
6 7
 
8.2%
3 7
 
8.2%
9 7
 
8.2%
7 5
 
5.9%
5 4
 
4.7%
8 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 1962
20.0%
l 1962
20.0%
o 981
10.0%
b 981
10.0%
i 981
10.0%
e 981
10.0%
v 981
10.0%
t 981
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 981
50.0%
A 981
50.0%
Space Separator
ValueCountFrequency (%)
981
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11772
91.7%
Common 1066
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
981
92.0%
1 21
 
2.0%
4 12
 
1.1%
2 12
 
1.1%
0 9
 
0.8%
6 7
 
0.7%
3 7
 
0.7%
9 7
 
0.7%
7 5
 
0.5%
5 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1962
16.7%
l 1962
16.7%
N 981
8.3%
o 981
8.3%
b 981
8.3%
i 981
8.3%
e 981
8.3%
v 981
8.3%
A 981
8.3%
t 981
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1962
15.3%
l 1962
15.3%
N 981
7.6%
o 981
7.6%
b 981
7.6%
i 981
7.6%
e 981
7.6%
v 981
7.6%
A 981
7.6%
981
7.6%
Other values (11) 1066
8.3%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:13.189252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.79
Min length1

Characters and Unicode

Total characters12790
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st row15
2nd row8
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 981
49.5%
available 981
49.5%
15 2
 
0.1%
24.12 1
 
0.1%
28 1
 
0.1%
0 1
 
0.1%
16 1
 
0.1%
20 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
Other values (10) 10
 
0.5%
2023-12-09T20:44:13.505752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1962
15.3%
l 1962
15.3%
N 981
7.7%
t 981
7.7%
981
7.7%
A 981
7.7%
v 981
7.7%
i 981
7.7%
b 981
7.7%
e 981
7.7%
Other values (12) 1018
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9810
76.7%
Uppercase Letter 1962
 
15.3%
Space Separator 981
 
7.7%
Decimal Number 36
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
22.2%
1 7
19.4%
3 4
11.1%
0 4
11.1%
5 3
 
8.3%
4 3
 
8.3%
6 3
 
8.3%
8 2
 
5.6%
9 1
 
2.8%
7 1
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
a 1962
20.0%
l 1962
20.0%
t 981
10.0%
v 981
10.0%
i 981
10.0%
b 981
10.0%
e 981
10.0%
o 981
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 981
50.0%
A 981
50.0%
Space Separator
ValueCountFrequency (%)
981
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11772
92.0%
Common 1018
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
981
96.4%
2 8
 
0.8%
1 7
 
0.7%
3 4
 
0.4%
0 4
 
0.4%
5 3
 
0.3%
4 3
 
0.3%
6 3
 
0.3%
8 2
 
0.2%
9 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1962
16.7%
l 1962
16.7%
N 981
8.3%
t 981
8.3%
A 981
8.3%
v 981
8.3%
i 981
8.3%
b 981
8.3%
e 981
8.3%
o 981
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1962
15.3%
l 1962
15.3%
N 981
7.7%
t 981
7.7%
981
7.7%
A 981
7.7%
v 981
7.7%
i 981
7.7%
b 981
7.7%
e 981
7.7%
Other values (12) 1018
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:13.676096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
108124 1
 
0.1%
2023-12-09T20:44:13.970170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 1
16.7%
8 1
16.7%
2 1
16.7%
4 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
1 2
 
0.2%
0 1
 
0.1%
8 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:14.138955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.99
Min length3

Characters and Unicode

Total characters12990
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
250 1
 
0.1%
2023-12-09T20:44:14.421026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1002
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
5 1
33.3%
0 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.7%
2 1
 
0.1%
5 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1002
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:14.588401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:14.866492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:15.032117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:15.308642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:15.530585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.78
Min length3

Characters and Unicode

Total characters12780
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
23196 1
 
0.1%
40000 1
 
0.1%
1000 1
 
0.1%
1205 1
 
0.1%
1824 1
 
0.1%
14793 1
 
0.1%
46000 1
 
0.1%
186822 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:44:15.873483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
o 974
7.6%
b 974
7.6%
i 974
7.6%
e 974
7.6%
v 974
7.6%
A 974
7.6%
974
7.6%
Other values (11) 1092
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.2%
Uppercase Letter 1948
 
15.2%
Space Separator 974
 
7.6%
Decimal Number 118
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
27.1%
1 21
17.8%
4 12
 
10.2%
5 11
 
9.3%
2 9
 
7.6%
3 9
 
7.6%
6 8
 
6.8%
8 7
 
5.9%
7 5
 
4.2%
9 4
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
b 974
10.0%
i 974
10.0%
e 974
10.0%
v 974
10.0%
t 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.5%
Common 1092
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
974
89.2%
0 32
 
2.9%
1 21
 
1.9%
4 12
 
1.1%
5 11
 
1.0%
2 9
 
0.8%
3 9
 
0.8%
6 8
 
0.7%
8 7
 
0.6%
7 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
b 974
8.3%
i 974
8.3%
e 974
8.3%
v 974
8.3%
A 974
8.3%
t 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
o 974
7.6%
b 974
7.6%
i 974
7.6%
e 974
7.6%
v 974
7.6%
A 974
7.6%
974
7.6%
Other values (11) 1092
8.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:44:16.050149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.688
Min length1

Characters and Unicode

Total characters12688
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 26
 
1.3%
2023-12-09T20:44:16.334881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.4%
l 1948
15.4%
N 974
7.7%
o 974
7.7%
t 974
7.7%
974
7.7%
A 974
7.7%
v 974
7.7%
i 974
7.7%
b 974
7.7%
Other values (2) 1000
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.8%
Uppercase Letter 1948
 
15.4%
Space Separator 974
 
7.7%
Decimal Number 26
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Decimal Number
ValueCountFrequency (%)
0 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
92.1%
Common 1000
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
Common
ValueCountFrequency (%)
974
97.4%
0 26
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.4%
l 1948
15.4%
N 974
7.7%
o 974
7.7%
t 974
7.7%
974
7.7%
A 974
7.7%
v 974
7.7%
i 974
7.7%
b 974
7.7%
Other values (2) 1000
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:44:16.501600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.688
Min length1

Characters and Unicode

Total characters12688
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 26
 
1.3%
2023-12-09T20:44:16.781899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.4%
l 1948
15.4%
N 974
7.7%
o 974
7.7%
t 974
7.7%
974
7.7%
A 974
7.7%
v 974
7.7%
i 974
7.7%
b 974
7.7%
Other values (2) 1000
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.8%
Uppercase Letter 1948
 
15.4%
Space Separator 974
 
7.7%
Decimal Number 26
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Decimal Number
ValueCountFrequency (%)
0 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
92.1%
Common 1000
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
Common
ValueCountFrequency (%)
974
97.4%
0 26
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.4%
l 1948
15.4%
N 974
7.7%
o 974
7.7%
t 974
7.7%
974
7.7%
A 974
7.7%
v 974
7.7%
i 974
7.7%
b 974
7.7%
Other values (2) 1000
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:44:16.948350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.688
Min length1

Characters and Unicode

Total characters12688
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 26
 
1.3%
2023-12-09T20:44:17.229559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.4%
l 1948
15.4%
N 974
7.7%
o 974
7.7%
t 974
7.7%
974
7.7%
A 974
7.7%
v 974
7.7%
i 974
7.7%
b 974
7.7%
Other values (2) 1000
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.8%
Uppercase Letter 1948
 
15.4%
Space Separator 974
 
7.7%
Decimal Number 26
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Decimal Number
ValueCountFrequency (%)
0 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
92.1%
Common 1000
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
Common
ValueCountFrequency (%)
974
97.4%
0 26
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.4%
l 1948
15.4%
N 974
7.7%
o 974
7.7%
t 974
7.7%
974
7.7%
A 974
7.7%
v 974
7.7%
i 974
7.7%
b 974
7.7%
Other values (2) 1000
7.9%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:17.454676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.913
Min length6

Characters and Unicode

Total characters12913
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 981
49.5%
available 981
49.5%
2117980.1 1
 
0.1%
675503.8 1
 
0.1%
1577081.6 1
 
0.1%
748632 1
 
0.1%
2947594.5 1
 
0.1%
3740228.9 1
 
0.1%
16677273.2 1
 
0.1%
4964850.6 1
 
0.1%
Other values (11) 11
 
0.6%
2023-12-09T20:44:17.810871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1962
15.2%
l 1962
15.2%
N 981
7.6%
o 981
7.6%
t 981
7.6%
981
7.6%
A 981
7.6%
v 981
7.6%
i 981
7.6%
b 981
7.6%
Other values (12) 1141
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9810
76.0%
Uppercase Letter 1962
 
15.2%
Space Separator 981
 
7.6%
Decimal Number 145
 
1.1%
Other Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
14.5%
7 19
13.1%
3 18
12.4%
8 15
10.3%
2 15
10.3%
6 13
9.0%
9 12
8.3%
4 12
8.3%
0 11
7.6%
5 9
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1962
20.0%
l 1962
20.0%
o 981
10.0%
t 981
10.0%
v 981
10.0%
i 981
10.0%
b 981
10.0%
e 981
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 981
50.0%
A 981
50.0%
Space Separator
ValueCountFrequency (%)
981
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11772
91.2%
Common 1141
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
981
86.0%
1 21
 
1.8%
7 19
 
1.7%
3 18
 
1.6%
8 15
 
1.3%
. 15
 
1.3%
2 15
 
1.3%
6 13
 
1.1%
9 12
 
1.1%
4 12
 
1.1%
Other values (2) 20
 
1.8%
Latin
ValueCountFrequency (%)
a 1962
16.7%
l 1962
16.7%
N 981
8.3%
o 981
8.3%
t 981
8.3%
A 981
8.3%
v 981
8.3%
i 981
8.3%
b 981
8.3%
e 981
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1962
15.2%
l 1962
15.2%
N 981
7.6%
o 981
7.6%
t 981
7.6%
981
7.6%
A 981
7.6%
v 981
7.6%
i 981
7.6%
b 981
7.6%
Other values (12) 1141
8.8%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:18.043602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.936
Min length7

Characters and Unicode

Total characters12936
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 981
49.5%
available 981
49.5%
159327997.2 1
 
0.1%
32434679.5 1
 
0.1%
6453492.8 1
 
0.1%
35732650.5 1
 
0.1%
10918209.3 1
 
0.1%
7152131 1
 
0.1%
7665438.9 1
 
0.1%
2637395.5 1
 
0.1%
Other values (11) 11
 
0.6%
2023-12-09T20:44:18.402813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1962
15.2%
l 1962
15.2%
N 981
7.6%
t 981
7.6%
981
7.6%
A 981
7.6%
v 981
7.6%
i 981
7.6%
b 981
7.6%
e 981
7.6%
Other values (12) 1164
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9810
75.8%
Uppercase Letter 1962
 
15.2%
Space Separator 981
 
7.6%
Decimal Number 166
 
1.3%
Other Punctuation 17
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
15.7%
3 21
12.7%
2 18
10.8%
4 16
9.6%
0 15
9.0%
7 15
9.0%
9 15
9.0%
6 14
8.4%
5 13
7.8%
8 13
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 1962
20.0%
l 1962
20.0%
t 981
10.0%
v 981
10.0%
i 981
10.0%
b 981
10.0%
e 981
10.0%
o 981
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 981
50.0%
A 981
50.0%
Space Separator
ValueCountFrequency (%)
981
100.0%
Other Punctuation
ValueCountFrequency (%)
. 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11772
91.0%
Common 1164
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
981
84.3%
1 26
 
2.2%
3 21
 
1.8%
2 18
 
1.5%
. 17
 
1.5%
4 16
 
1.4%
0 15
 
1.3%
7 15
 
1.3%
9 15
 
1.3%
6 14
 
1.2%
Other values (2) 26
 
2.2%
Latin
ValueCountFrequency (%)
a 1962
16.7%
l 1962
16.7%
N 981
8.3%
t 981
8.3%
A 981
8.3%
v 981
8.3%
i 981
8.3%
b 981
8.3%
e 981
8.3%
o 981
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1962
15.2%
l 1962
15.2%
N 981
7.6%
t 981
7.6%
981
7.6%
A 981
7.6%
v 981
7.6%
i 981
7.6%
b 981
7.6%
e 981
7.6%
Other values (12) 1164
9.0%

data_center_pue
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:18.579610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:18.853773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:19.019763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:19.301496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:19.563768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.849
Min length1

Characters and Unicode

Total characters12849
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)2.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 975
49.4%
available 975
49.4%
0 5
 
0.3%
1077384.8 1
 
0.1%
675503.8 1
 
0.1%
1577081.6 1
 
0.1%
748632 1
 
0.1%
2947594.5 1
 
0.1%
3740228.9 1
 
0.1%
16677273.2 1
 
0.1%
Other values (13) 13
 
0.7%
2023-12-09T20:44:19.914168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1950
15.2%
l 1950
15.2%
N 975
7.6%
t 975
7.6%
975
7.6%
A 975
7.6%
v 975
7.6%
i 975
7.6%
b 975
7.6%
e 975
7.6%
Other values (12) 1149
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9750
75.9%
Uppercase Letter 1950
 
15.2%
Space Separator 975
 
7.6%
Decimal Number 158
 
1.2%
Other Punctuation 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
14.6%
7 20
12.7%
3 19
12.0%
0 17
10.8%
2 16
10.1%
8 15
9.5%
9 14
8.9%
6 13
8.2%
4 12
7.6%
5 9
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1950
20.0%
l 1950
20.0%
t 975
10.0%
v 975
10.0%
i 975
10.0%
b 975
10.0%
e 975
10.0%
o 975
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 975
50.0%
A 975
50.0%
Space Separator
ValueCountFrequency (%)
975
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11700
91.1%
Common 1149
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
975
84.9%
1 23
 
2.0%
7 20
 
1.7%
3 19
 
1.7%
0 17
 
1.5%
2 16
 
1.4%
. 16
 
1.4%
8 15
 
1.3%
9 14
 
1.2%
6 13
 
1.1%
Other values (2) 21
 
1.8%
Latin
ValueCountFrequency (%)
a 1950
16.7%
l 1950
16.7%
N 975
8.3%
t 975
8.3%
A 975
8.3%
v 975
8.3%
i 975
8.3%
b 975
8.3%
e 975
8.3%
o 975
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1950
15.2%
l 1950
15.2%
N 975
7.6%
t 975
7.6%
975
7.6%
A 975
7.6%
v 975
7.6%
i 975
7.6%
b 975
7.6%
e 975
7.6%
Other values (12) 1149
8.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:20.108822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.85
Min length1

Characters and Unicode

Total characters12850
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 984
49.5%
available 984
49.5%
n+1 10
 
0.5%
2n 2
 
0.1%
n+2 2
 
0.1%
n 1
 
0.1%
none 1
 
0.1%
of 1
 
0.1%
the 1
 
0.1%
above 1
 
0.1%
2023-12-09T20:44:20.431663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1968
15.3%
a 1968
15.3%
N 1000
7.8%
987
7.7%
o 987
7.7%
e 987
7.7%
A 985
7.7%
v 985
7.7%
t 985
7.7%
b 985
7.7%
Other values (7) 1013
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9852
76.7%
Uppercase Letter 1985
 
15.4%
Space Separator 987
 
7.7%
Decimal Number 14
 
0.1%
Math Symbol 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1968
20.0%
a 1968
20.0%
o 987
10.0%
e 987
10.0%
v 985
10.0%
t 985
10.0%
b 985
10.0%
i 984
10.0%
n 1
 
< 0.1%
f 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.4%
A 985
49.6%
Decimal Number
ValueCountFrequency (%)
1 10
71.4%
2 4
 
28.6%
Space Separator
ValueCountFrequency (%)
987
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11837
92.1%
Common 1013
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1968
16.6%
a 1968
16.6%
N 1000
8.4%
o 987
8.3%
e 987
8.3%
A 985
8.3%
v 985
8.3%
t 985
8.3%
b 985
8.3%
i 984
8.3%
Other values (3) 3
 
< 0.1%
Common
ValueCountFrequency (%)
987
97.4%
+ 12
 
1.2%
1 10
 
1.0%
2 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1968
15.3%
a 1968
15.3%
N 1000
7.8%
987
7.7%
o 987
7.7%
e 987
7.7%
A 985
7.7%
v 985
7.7%
t 985
7.7%
b 985
7.7%
Other values (7) 1013
7.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size70.0 KiB
2023-12-09T20:44:20.631176image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length110
Median length13
Mean length14.557
Min length13

Characters and Unicode

Total characters14557
Distinct characters34
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
44.6%
available 974
44.6%
it 29
 
1.3%
uninterruptible 23
 
1.1%
power 23
 
1.1%
supply 23
 
1.1%
ups 23
 
1.1%
supports 23
 
1.1%
only 23
 
1.1%
equipment 23
 
1.1%
Other values (5) 47
 
2.2%
2023-12-09T20:44:20.950997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2023
13.9%
a 1954
13.4%
1185
8.1%
e 1159
8.0%
t 1078
7.4%
o 1061
7.3%
i 1055
7.2%
b 997
6.8%
N 980
6.7%
A 974
6.7%
Other values (24) 2091
14.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11086
76.2%
Uppercase Letter 2191
 
15.1%
Space Separator 1185
 
8.1%
Open Punctuation 46
 
0.3%
Close Punctuation 46
 
0.3%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2023
18.2%
a 1954
17.6%
e 1159
10.5%
t 1078
9.7%
o 1061
9.6%
i 1055
9.5%
b 997
9.0%
v 974
8.8%
r 173
 
1.6%
p 161
 
1.5%
Other values (11) 451
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
N 980
44.7%
A 974
44.5%
S 52
 
2.4%
P 46
 
2.1%
U 46
 
2.1%
I 29
 
1.3%
T 29
 
1.3%
E 29
 
1.3%
C 6
 
0.3%
Space Separator
ValueCountFrequency (%)
1185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13277
91.2%
Common 1280
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2023
15.2%
a 1954
14.7%
e 1159
8.7%
t 1078
8.1%
o 1061
8.0%
i 1055
7.9%
b 997
7.5%
N 980
7.4%
A 974
7.3%
v 974
7.3%
Other values (20) 1022
7.7%
Common
ValueCountFrequency (%)
1185
92.6%
( 46
 
3.6%
) 46
 
3.6%
, 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14557
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2023
13.9%
a 1954
13.4%
1185
8.1%
e 1159
8.0%
t 1078
7.4%
o 1061
7.3%
i 1055
7.2%
b 997
6.8%
N 980
6.7%
A 974
6.7%
Other values (24) 2091
14.4%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:21.137014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.849
Min length1

Characters and Unicode

Total characters12849
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 984
49.5%
available 984
49.5%
n+1 10
 
0.5%
n+2 2
 
0.1%
n 2
 
0.1%
2n 1
 
0.1%
none 1
 
0.1%
of 1
 
0.1%
the 1
 
0.1%
above 1
 
0.1%
2023-12-09T20:44:21.456450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1968
15.3%
a 1968
15.3%
N 1000
7.8%
987
7.7%
o 987
7.7%
e 987
7.7%
A 985
7.7%
v 985
7.7%
t 985
7.7%
b 985
7.7%
Other values (7) 1012
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9852
76.7%
Uppercase Letter 1985
 
15.4%
Space Separator 987
 
7.7%
Decimal Number 13
 
0.1%
Math Symbol 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1968
20.0%
a 1968
20.0%
o 987
10.0%
e 987
10.0%
v 985
10.0%
t 985
10.0%
b 985
10.0%
i 984
10.0%
n 1
 
< 0.1%
f 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.4%
A 985
49.6%
Decimal Number
ValueCountFrequency (%)
1 10
76.9%
2 3
 
23.1%
Space Separator
ValueCountFrequency (%)
987
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11837
92.1%
Common 1012
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1968
16.6%
a 1968
16.6%
N 1000
8.4%
o 987
8.3%
e 987
8.3%
A 985
8.3%
v 985
8.3%
t 985
8.3%
b 985
8.3%
i 984
8.3%
Other values (3) 3
 
< 0.1%
Common
ValueCountFrequency (%)
987
97.5%
+ 12
 
1.2%
1 10
 
1.0%
2 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1968
15.3%
a 1968
15.3%
N 1000
7.8%
987
7.7%
o 987
7.7%
e 987
7.7%
A 985
7.7%
v 985
7.7%
t 985
7.7%
b 985
7.7%
Other values (7) 1012
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:21.626808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:21.908466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:22.078444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:22.364537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:22.532770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:22.820009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:23.061798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.819
Min length1

Characters and Unicode

Total characters12819
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd row577534
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
536391 1
 
0.1%
685781 1
 
0.1%
10561 1
 
0.1%
36995 1
 
0.1%
577534 1
 
0.1%
5484 1
 
0.1%
8949.4 1
 
0.1%
1500 1
 
0.1%
Other values (15) 15
 
0.8%
2023-12-09T20:44:23.428516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.2%
l 1954
15.2%
N 977
7.6%
t 977
7.6%
977
7.6%
A 977
7.6%
v 977
7.6%
i 977
7.6%
b 977
7.6%
e 977
7.6%
Other values (12) 1095
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.2%
Uppercase Letter 1954
 
15.2%
Space Separator 977
 
7.6%
Decimal Number 117
 
0.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
14.5%
0 17
14.5%
9 14
12.0%
5 14
12.0%
8 12
10.3%
7 10
8.5%
3 10
8.5%
6 9
7.7%
4 9
7.7%
2 5
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
t 977
10.0%
v 977
10.0%
i 977
10.0%
b 977
10.0%
e 977
10.0%
o 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.5%
Common 1095
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
977
89.2%
1 17
 
1.6%
0 17
 
1.6%
9 14
 
1.3%
5 14
 
1.3%
8 12
 
1.1%
7 10
 
0.9%
3 10
 
0.9%
6 9
 
0.8%
4 9
 
0.8%
Other values (2) 6
 
0.5%
Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
t 977
8.3%
A 977
8.3%
v 977
8.3%
i 977
8.3%
b 977
8.3%
e 977
8.3%
o 977
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12819
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.2%
l 1954
15.2%
N 977
7.6%
t 977
7.6%
977
7.6%
A 977
7.6%
v 977
7.6%
i 977
7.6%
b 977
7.6%
e 977
7.6%
Other values (12) 1095
8.5%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:23.649245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.771
Min length1

Characters and Unicode

Total characters12771
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1280
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
18 2
 
0.1%
1800 1
 
0.1%
1265 1
 
0.1%
0 1
 
0.1%
20.08 1
 
0.1%
1906 1
 
0.1%
17 1
 
0.1%
1280 1
 
0.1%
Other values (14) 14
 
0.7%
2023-12-09T20:44:24.002759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.7%
t 977
7.7%
977
7.7%
A 977
7.7%
v 977
7.7%
i 977
7.7%
b 977
7.7%
e 977
7.7%
Other values (12) 1047
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.5%
Uppercase Letter 1954
 
15.3%
Space Separator 977
 
7.7%
Decimal Number 69
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
24.6%
1 16
23.2%
2 7
10.1%
6 6
 
8.7%
7 6
 
8.7%
8 6
 
8.7%
3 5
 
7.2%
5 3
 
4.3%
4 2
 
2.9%
9 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
t 977
10.0%
v 977
10.0%
i 977
10.0%
b 977
10.0%
e 977
10.0%
o 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.8%
Common 1047
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
977
93.3%
0 17
 
1.6%
1 16
 
1.5%
2 7
 
0.7%
6 6
 
0.6%
7 6
 
0.6%
8 6
 
0.6%
3 5
 
0.5%
5 3
 
0.3%
4 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
t 977
8.3%
A 977
8.3%
v 977
8.3%
i 977
8.3%
b 977
8.3%
e 977
8.3%
o 977
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.7%
t 977
7.7%
977
7.7%
A 977
7.7%
v 977
7.7%
i 977
7.7%
b 977
7.7%
e 977
7.7%
Other values (12) 1047
8.2%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:24.233544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.767
Min length1

Characters and Unicode

Total characters12767
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1280
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
12 2
 
0.1%
15 2
 
0.1%
282 1
 
0.1%
0 1
 
0.1%
20.08 1
 
0.1%
1020 1
 
0.1%
7 1
 
0.1%
1400 1
 
0.1%
Other values (13) 13
 
0.7%
2023-12-09T20:44:24.571780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.7%
t 977
7.7%
977
7.7%
A 977
7.7%
v 977
7.7%
i 977
7.7%
b 977
7.7%
e 977
7.7%
Other values (12) 1043
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.5%
Uppercase Letter 1954
 
15.3%
Space Separator 977
 
7.7%
Decimal Number 65
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
26.2%
1 11
16.9%
2 10
15.4%
5 5
 
7.7%
4 5
 
7.7%
6 5
 
7.7%
3 4
 
6.2%
9 3
 
4.6%
8 3
 
4.6%
7 2
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
t 977
10.0%
v 977
10.0%
i 977
10.0%
b 977
10.0%
e 977
10.0%
o 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.8%
Common 1043
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
977
93.7%
0 17
 
1.6%
1 11
 
1.1%
2 10
 
1.0%
5 5
 
0.5%
4 5
 
0.5%
6 5
 
0.5%
3 4
 
0.4%
9 3
 
0.3%
8 3
 
0.3%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
t 977
8.3%
A 977
8.3%
v 977
8.3%
i 977
8.3%
b 977
8.3%
e 977
8.3%
o 977
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.7%
t 977
7.7%
977
7.7%
A 977
7.7%
v 977
7.7%
i 977
7.7%
b 977
7.7%
e 977
7.7%
Other values (12) 1043
8.2%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:44:24.786627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.76
Min length1

Characters and Unicode

Total characters12760
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd row90
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
55 3
 
0.2%
60 2
 
0.1%
70 2
 
0.1%
40 2
 
0.1%
53.33 1
 
0.1%
48 1
 
0.1%
45 1
 
0.1%
80 1
 
0.1%
Other values (10) 10
 
0.5%
2023-12-09T20:44:25.131031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.7%
o 977
7.7%
b 977
7.7%
i 977
7.7%
e 977
7.7%
v 977
7.7%
A 977
7.7%
977
7.7%
Other values (11) 1036
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.6%
Uppercase Letter 1954
 
15.3%
Space Separator 977
 
7.7%
Decimal Number 54
 
0.4%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13
24.1%
0 9
16.7%
4 9
16.7%
6 7
13.0%
7 4
 
7.4%
8 4
 
7.4%
3 4
 
7.4%
9 3
 
5.6%
1 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
o 977
10.0%
b 977
10.0%
i 977
10.0%
e 977
10.0%
v 977
10.0%
t 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.9%
Common 1036
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
977
94.3%
5 13
 
1.3%
0 9
 
0.9%
4 9
 
0.9%
6 7
 
0.7%
. 5
 
0.5%
7 4
 
0.4%
8 4
 
0.4%
3 4
 
0.4%
9 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
o 977
8.3%
b 977
8.3%
i 977
8.3%
e 977
8.3%
v 977
8.3%
A 977
8.3%
t 977
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.7%
o 977
7.7%
b 977
7.7%
i 977
7.7%
e 977
7.7%
v 977
7.7%
A 977
7.7%
977
7.7%
Other values (11) 1036
8.1%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:25.371366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.866
Min length3

Characters and Unicode

Total characters12866
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)2.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd row2.21632
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 978
49.4%
available 978
49.4%
3.55338 1
 
0.1%
7.03869 1
 
0.1%
5.02193 1
 
0.1%
4.41706 1
 
0.1%
1.53846 1
 
0.1%
3.30448 1
 
0.1%
1.70438 1
 
0.1%
4.83108 1
 
0.1%
Other values (14) 14
 
0.7%
2023-12-09T20:44:25.729498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1956
15.2%
l 1956
15.2%
N 978
7.6%
t 978
7.6%
978
7.6%
A 978
7.6%
v 978
7.6%
i 978
7.6%
b 978
7.6%
e 978
7.6%
Other values (12) 1130
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9780
76.0%
Uppercase Letter 1956
 
15.2%
Space Separator 978
 
7.6%
Decimal Number 130
 
1.0%
Other Punctuation 22
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 24
18.5%
1 17
13.1%
2 15
11.5%
8 14
10.8%
6 14
10.8%
0 13
10.0%
4 13
10.0%
7 8
 
6.2%
5 6
 
4.6%
9 6
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 1956
20.0%
l 1956
20.0%
t 978
10.0%
v 978
10.0%
i 978
10.0%
b 978
10.0%
e 978
10.0%
o 978
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 978
50.0%
A 978
50.0%
Space Separator
ValueCountFrequency (%)
978
100.0%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11736
91.2%
Common 1130
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
978
86.5%
3 24
 
2.1%
. 22
 
1.9%
1 17
 
1.5%
2 15
 
1.3%
8 14
 
1.2%
6 14
 
1.2%
0 13
 
1.2%
4 13
 
1.2%
7 8
 
0.7%
Other values (2) 12
 
1.1%
Latin
ValueCountFrequency (%)
a 1956
16.7%
l 1956
16.7%
N 978
8.3%
t 978
8.3%
A 978
8.3%
v 978
8.3%
i 978
8.3%
b 978
8.3%
e 978
8.3%
o 978
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1956
15.2%
l 1956
15.2%
N 978
7.6%
t 978
7.6%
978
7.6%
A 978
7.6%
v 978
7.6%
i 978
7.6%
b 978
7.6%
e 978
7.6%
Other values (12) 1130
8.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:25.910873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.983
Min length4

Characters and Unicode

Total characters12983
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
34000 1
 
0.1%
1672 1
 
0.1%
2023-12-09T20:44:26.206290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
33.3%
3 1
 
11.1%
4 1
 
11.1%
1 1
 
11.1%
6 1
 
11.1%
7 1
 
11.1%
2 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.1%
0 3
 
0.3%
3 1
 
0.1%
4 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1007
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:26.378640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.979
Min length1

Characters and Unicode

Total characters12979
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
0 1
 
0.1%
1300 1
 
0.1%
2023-12-09T20:44:26.679291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
1 1
 
20.0%
3 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.5%
0 3
 
0.3%
1 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1003
7.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:26.863876image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.941
Min length3

Characters and Unicode

Total characters12941
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
366 1
 
0.1%
1510 1
 
0.1%
18002 1
 
0.1%
10000 1
 
0.1%
4377.7 1
 
0.1%
11750 1
 
0.1%
1440 1
 
0.1%
2023-12-09T20:44:27.174693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (11) 1025
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.7%
Uppercase Letter 1986
 
15.3%
Space Separator 993
 
7.7%
Decimal Number 31
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
29.0%
1 7
22.6%
7 4
12.9%
4 3
 
9.7%
3 2
 
6.5%
6 2
 
6.5%
5 2
 
6.5%
8 1
 
3.2%
2 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
b 993
10.0%
i 993
10.0%
e 993
10.0%
v 993
10.0%
t 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.1%
Common 1025
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
993
96.9%
0 9
 
0.9%
1 7
 
0.7%
7 4
 
0.4%
4 3
 
0.3%
3 2
 
0.2%
6 2
 
0.2%
5 2
 
0.2%
8 1
 
0.1%
2 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
b 993
8.3%
i 993
8.3%
e 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (11) 1025
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:27.361377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.957
Min length3

Characters and Unicode

Total characters12957
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1530 1
 
0.1%
3550 1
 
0.1%
12687 1
 
0.1%
800 1
 
0.1%
7599.4 1
 
0.1%
2023-12-09T20:44:27.663834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 21
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4
19.0%
0 4
19.0%
8 2
9.5%
9 2
9.5%
7 2
9.5%
1 2
9.5%
3 2
9.5%
6 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1017
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.8%
5 4
 
0.4%
0 4
 
0.4%
8 2
 
0.2%
9 2
 
0.2%
7 2
 
0.2%
1 2
 
0.2%
3 2
 
0.2%
6 1
 
0.1%
2 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1017
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:27.846494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length7

Characters and Unicode

Total characters12970
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
2.55711 1
 
0.1%
3.32648 1
 
0.1%
6.01317 1
 
0.1%
2.59077 1
 
0.1%
4.52096 1
 
0.1%
2023-12-09T20:44:28.161728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1030
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 30
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 4
13.3%
1 4
13.3%
2 4
13.3%
5 4
13.3%
3 3
10.0%
6 3
10.0%
0 3
10.0%
4 2
6.7%
9 2
6.7%
8 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1030
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.6%
. 5
 
0.5%
7 4
 
0.4%
1 4
 
0.4%
2 4
 
0.4%
5 4
 
0.4%
3 3
 
0.3%
6 3
 
0.3%
0 3
 
0.3%
4 2
 
0.2%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1030
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:28.348593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length6

Characters and Unicode

Total characters12967
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
590371 1
 
0.1%
308789 1
 
0.1%
338424 1
 
0.1%
2971874 1
 
0.1%
3813938 1
 
0.1%
2023-12-09T20:44:28.660397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 32
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
21.9%
8 6
18.8%
9 4
12.5%
7 4
12.5%
1 3
9.4%
4 3
9.4%
0 2
 
6.2%
2 2
 
6.2%
5 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1027
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
96.9%
3 7
 
0.7%
8 6
 
0.6%
9 4
 
0.4%
7 4
 
0.4%
1 3
 
0.3%
4 3
 
0.3%
0 2
 
0.2%
2 2
 
0.2%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1027
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:28.838346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length8

Characters and Unicode

Total characters12975
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.8%
available 995
49.8%
100 5
 
0.2%
yes 5
 
0.2%
2023-12-09T20:44:29.138272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
1000
7.7%
e 1000
7.7%
N 995
7.7%
o 995
7.7%
t 995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
Other values (6) 1025
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1995
 
15.4%
Space Separator 1000
 
7.7%
Decimal Number 15
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 1000
10.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
s 5
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 995
49.9%
A 995
49.9%
Y 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 10
66.7%
1 5
33.3%
Space Separator
ValueCountFrequency (%)
1000
100.0%
Other Punctuation
ValueCountFrequency (%)
% 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11955
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.6%
l 1990
16.6%
e 1000
8.4%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
Other values (2) 10
 
0.1%
Common
ValueCountFrequency (%)
1000
98.0%
0 10
 
1.0%
1 5
 
0.5%
% 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
1000
7.7%
e 1000
7.7%
N 995
7.7%
o 995
7.7%
t 995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
Other values (6) 1025
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:29.331101image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.961
Min length3

Characters and Unicode

Total characters12961
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
3868.12 1
 
0.1%
407.4 1
 
0.1%
206.9 1
 
0.1%
225 1
 
0.1%
2050.6 1
 
0.1%
2023-12-09T20:44:29.644261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1021
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 22
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
22.7%
0 4
18.2%
6 3
13.6%
4 2
 
9.1%
5 2
 
9.1%
8 2
 
9.1%
1 1
 
4.5%
7 1
 
4.5%
9 1
 
4.5%
3 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1021
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.5%
2 5
 
0.5%
0 4
 
0.4%
. 4
 
0.4%
6 3
 
0.3%
4 2
 
0.2%
5 2
 
0.2%
8 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1021
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:29.830356image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length4

Characters and Unicode

Total characters12967
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.66485 1
 
0.1%
1.01421 1
 
0.1%
0.69007 1
 
0.1%
0.69 1
 
0.1%
0.67004 1
 
0.1%
2023-12-09T20:44:30.134274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 27
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
33.3%
6 5
18.5%
4 3
 
11.1%
1 3
 
11.1%
9 2
 
7.4%
7 2
 
7.4%
8 1
 
3.7%
5 1
 
3.7%
2 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1027
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.9%
0 9
 
0.9%
. 5
 
0.5%
6 5
 
0.5%
4 3
 
0.3%
1 3
 
0.3%
9 2
 
0.2%
7 2
 
0.2%
8 1
 
0.1%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1027
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:30.325303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length7

Characters and Unicode

Total characters12970
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.00315 1
 
0.1%
0.00324 1
 
0.1%
0.00339 1
 
0.1%
0.00168 1
 
0.1%
0.00295 1
 
0.1%
2023-12-09T20:44:30.633300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1030
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 30
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
50.0%
3 4
 
13.3%
1 2
 
6.7%
5 2
 
6.7%
2 2
 
6.7%
9 2
 
6.7%
4 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1030
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.6%
0 15
 
1.5%
. 5
 
0.5%
3 4
 
0.4%
1 2
 
0.2%
5 2
 
0.2%
2 2
 
0.2%
9 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1030
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:30.813116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.941
Min length1

Characters and Unicode

Total characters12941
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1 2
 
0.1%
12 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
2023-12-09T20:44:31.105504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.9%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
5 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
99.4%
1 3
 
0.3%
2 2
 
0.2%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1001
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:31.288353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.951
Min length3

Characters and Unicode

Total characters12951
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1786 1
 
0.1%
843 1
 
0.1%
439 1
 
0.1%
206 1
 
0.1%
157 1
 
0.1%
2023-12-09T20:44:31.601313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1011
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
12.5%
7 2
12.5%
8 2
12.5%
6 2
12.5%
4 2
12.5%
3 2
12.5%
9 1
6.2%
2 1
6.2%
0 1
6.2%
5 1
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1011
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
995
98.4%
1 2
 
0.2%
7 2
 
0.2%
8 2
 
0.2%
6 2
 
0.2%
4 2
 
0.2%
3 2
 
0.2%
9 1
 
0.1%
2 1
 
0.1%
0 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12951
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1011
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:31.801818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length7

Characters and Unicode

Total characters12970
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1.32001 1
 
0.1%
1.94022 1
 
0.1%
1.28178 1
 
0.1%
1.32002 1
 
0.1%
2.65939 1
 
0.1%
2023-12-09T20:44:32.107337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1030
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 30
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
1 6
20.0%
0 5
16.7%
3 3
10.0%
9 3
10.0%
8 2
 
6.7%
4 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1030
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.6%
2 7
 
0.7%
1 6
 
0.6%
. 5
 
0.5%
0 5
 
0.5%
3 3
 
0.3%
9 3
 
0.3%
8 2
 
0.2%
4 1
 
0.1%
7 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1030
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:32.281092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.95
Min length3

Characters and Unicode

Total characters12950
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
100 5
 
0.3%
2023-12-09T20:44:32.560144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (3) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Decimal Number
ValueCountFrequency (%)
0 10
66.7%
1 5
33.3%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
98.5%
0 10
 
1.0%
1 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (3) 1010
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:32.728339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.95
Min length3

Characters and Unicode

Total characters12950
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
100 5
 
0.3%
2023-12-09T20:44:33.006221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (3) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Decimal Number
ValueCountFrequency (%)
0 10
66.7%
1 5
33.3%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
98.5%
0 10
 
1.0%
1 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (3) 1010
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:33.186225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.969
Min length6

Characters and Unicode

Total characters12969
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.7436 1
 
0.1%
0.46828 1
 
0.1%
0.66712 1
 
0.1%
0.28366 1
 
0.1%
0.46392 1
 
0.1%
2023-12-09T20:44:33.506992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1029
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 29
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
24.1%
0 5
17.2%
2 4
13.8%
4 3
10.3%
3 3
10.3%
8 3
10.3%
7 2
 
6.9%
1 1
 
3.4%
9 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1029
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.7%
6 7
 
0.7%
0 5
 
0.5%
. 5
 
0.5%
2 4
 
0.4%
4 3
 
0.3%
3 3
 
0.3%
8 3
 
0.3%
7 2
 
0.2%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1029
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:33.688755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.971
Min length5

Characters and Unicode

Total characters12971
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
29790 1
 
0.1%
117467 1
 
0.1%
109276 1
 
0.1%
105208 1
 
0.1%
2023-12-09T20:44:34.001354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (10) 1019
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 4
17.4%
0 4
17.4%
1 4
17.4%
2 3
13.0%
9 3
13.0%
6 2
8.7%
4 1
 
4.3%
5 1
 
4.3%
8 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
b 996
10.0%
i 996
10.0%
e 996
10.0%
v 996
10.0%
t 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1019
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
b 996
8.3%
i 996
8.3%
e 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
97.7%
7 4
 
0.4%
0 4
 
0.4%
1 4
 
0.4%
2 3
 
0.3%
9 3
 
0.3%
6 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (10) 1019
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:34.177727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.977
Min length1

Characters and Unicode

Total characters12977
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1 1
 
0.1%
30 1
 
0.1%
2023-12-09T20:44:34.484102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
0 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.7%
1 1
 
0.1%
3 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1001
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:34.670953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.962
Min length3

Characters and Unicode

Total characters12962
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
497 1
 
0.1%
144 1
 
0.1%
250 1
 
0.1%
67.84 1
 
0.1%
2023-12-09T20:44:34.975436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (11) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 13
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4
30.8%
7 2
15.4%
9 1
 
7.7%
1 1
 
7.7%
2 1
 
7.7%
5 1
 
7.7%
0 1
 
7.7%
6 1
 
7.7%
8 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
b 996
10.0%
i 996
10.0%
e 996
10.0%
v 996
10.0%
t 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1010
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
996
98.6%
4 4
 
0.4%
7 2
 
0.2%
9 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
0 1
 
0.1%
6 1
 
0.1%
. 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
b 996
8.3%
i 996
8.3%
e 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (11) 1010
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:35.158151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
100 4
 
0.2%
2023-12-09T20:44:35.449080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Decimal Number
ValueCountFrequency (%)
0 8
66.7%
1 4
33.3%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
0 8
 
0.8%
1 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:35.618616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
100 4
 
0.2%
2023-12-09T20:44:35.898255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Decimal Number
ValueCountFrequency (%)
0 8
66.7%
1 4
33.3%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
0 8
 
0.8%
1 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:36.076652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length2

Characters and Unicode

Total characters12960
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
28.51 1
 
0.1%
126 1
 
0.1%
76 1
 
0.1%
60 1
 
0.1%
2023-12-09T20:44:36.377669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 11
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
6 3
27.3%
2 2
18.2%
1 2
18.2%
8 1
 
9.1%
5 1
 
9.1%
7 1
 
9.1%
0 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
6 3
 
0.3%
2 2
 
0.2%
1 2
 
0.2%
8 1
 
0.1%
. 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1008
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:36.546096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:36.823982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:38.934088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:39.223444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct585
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
2023-12-09T20:44:39.626892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length6.574
Min length4

Characters and Unicode

Total characters6574
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique430 ?
Unique (%)43.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 130
 
11.5%
available 130
 
11.5%
106800 9
 
0.8%
96000 8
 
0.7%
110400 8
 
0.7%
122400 7
 
0.6%
109200 7
 
0.6%
93600 6
 
0.5%
91200 6
 
0.5%
112800 6
 
0.5%
Other values (576) 813
71.9%
2023-12-09T20:44:40.154465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1411
21.5%
1 712
10.8%
2 451
 
6.9%
8 436
 
6.6%
5 408
 
6.2%
6 387
 
5.9%
4 314
 
4.8%
7 273
 
4.2%
a 260
 
4.0%
l 260
 
4.0%
Other values (12) 1662
25.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4882
74.3%
Lowercase Letter 1300
 
19.8%
Uppercase Letter 260
 
4.0%
Space Separator 130
 
2.0%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1411
28.9%
1 712
14.6%
2 451
 
9.2%
8 436
 
8.9%
5 408
 
8.4%
6 387
 
7.9%
4 314
 
6.4%
7 273
 
5.6%
9 257
 
5.3%
3 233
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 260
20.0%
l 260
20.0%
o 130
10.0%
e 130
10.0%
b 130
10.0%
i 130
10.0%
v 130
10.0%
t 130
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 130
50.0%
A 130
50.0%
Space Separator
ValueCountFrequency (%)
130
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5014
76.3%
Latin 1560
 
23.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1411
28.1%
1 712
14.2%
2 451
 
9.0%
8 436
 
8.7%
5 408
 
8.1%
6 387
 
7.7%
4 314
 
6.3%
7 273
 
5.4%
9 257
 
5.1%
3 233
 
4.6%
Other values (2) 132
 
2.6%
Latin
ValueCountFrequency (%)
a 260
16.7%
l 260
16.7%
N 130
8.3%
o 130
8.3%
e 130
8.3%
b 130
8.3%
i 130
8.3%
v 130
8.3%
A 130
8.3%
t 130
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1411
21.5%
1 712
10.8%
2 451
 
6.9%
8 436
 
6.6%
5 408
 
6.2%
6 387
 
5.9%
4 314
 
4.8%
7 273
 
4.2%
a 260
 
4.0%
l 260
 
4.0%
Other values (12) 1662
25.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:40.351267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
327993 1
 
0.1%
685314 1
 
0.1%
2023-12-09T20:44:40.663563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3
25.0%
9 2
16.7%
2 1
 
8.3%
7 1
 
8.3%
6 1
 
8.3%
8 1
 
8.3%
5 1
 
8.3%
1 1
 
8.3%
4 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
3 3
 
0.3%
9 2
 
0.2%
2 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1010
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:40.834898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:41.118574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:41.291300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:41.574305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:41.746762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:42.032278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:42.207539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.979
Min length6

Characters and Unicode

Total characters12979
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
247991 1
 
0.1%
368540 1
 
0.1%
814289 1
 
0.1%
2023-12-09T20:44:42.516307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1015
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 18
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3
16.7%
9 3
16.7%
8 3
16.7%
2 2
11.1%
1 2
11.1%
7 1
 
5.6%
3 1
 
5.6%
6 1
 
5.6%
5 1
 
5.6%
0 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1015
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
997
98.2%
4 3
 
0.3%
9 3
 
0.3%
8 3
 
0.3%
2 2
 
0.2%
1 2
 
0.2%
7 1
 
0.1%
3 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1015
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:42.687216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length2

Characters and Unicode

Total characters12967
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
no 3
 
0.2%
2023-12-09T20:44:42.968866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 1000
7.7%
o 1000
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9973
76.9%
Uppercase Letter 1997
 
15.4%
Space Separator 997
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 1000
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 997
49.9%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11970
92.3%
Common 997
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 1000
8.4%
o 1000
8.4%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 1000
7.7%
o 1000
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:43.142788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.971
Min length3

Characters and Unicode

Total characters12971
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
744 1
 
0.1%
1700 1
 
0.1%
264 1
 
0.1%
2023-12-09T20:44:43.425548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
4 3
30.0%
7 2
20.0%
0 2
20.0%
1 1
 
10.0%
2 1
 
10.0%
6 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.0%
4 3
 
0.3%
7 2
 
0.2%
0 2
 
0.2%
1 1
 
0.1%
2 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1007
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:43.596058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.968
Min length1

Characters and Unicode

Total characters12968
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
105 1
 
0.1%
248 1
 
0.1%
0 1
 
0.1%
2023-12-09T20:44:43.882587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
1 1
14.3%
5 1
14.3%
2 1
14.3%
4 1
14.3%
8 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.3%
0 2
 
0.2%
1 1
 
0.1%
5 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1004
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:44.055965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.966
Min length1

Characters and Unicode

Total characters12966
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 1
 
0.1%
78 1
 
0.1%
10 1
 
0.1%
2023-12-09T20:44:44.344580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1002
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
7 1
20.0%
8 1
20.0%
1 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.5%
0 2
 
0.2%
7 1
 
0.1%
8 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1002
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:44.517611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
105 1
 
0.1%
248 1
 
0.1%
921 1
 
0.1%
2023-12-09T20:44:44.800363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
2 2
22.2%
0 1
11.1%
5 1
11.1%
4 1
11.1%
8 1
11.1%
9 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
1 2
 
0.2%
2 2
 
0.2%
0 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1006
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:44.970360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.969
Min length2

Characters and Unicode

Total characters12969
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
100 2
 
0.1%
90 1
 
0.1%
2023-12-09T20:44:45.260406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (4) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
62.5%
1 2
 
25.0%
9 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.2%
0 5
 
0.5%
1 2
 
0.2%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (4) 1005
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:45.431901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
100 3
 
0.2%
2023-12-09T20:44:45.707734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Decimal Number
ValueCountFrequency (%)
0 6
66.7%
1 3
33.3%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
0 6
 
0.6%
1 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1006
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:45.888024image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length13
Mean length13.036
Min length13

Characters and Unicode

Total characters13036
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.8%
available 998
49.8%
no 2
 
0.1%
specific 2
 
0.1%
resident 2
 
0.1%
population 2
 
0.1%
2023-12-09T20:44:46.193315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.3%
a 1998
15.3%
i 1006
7.7%
1004
7.7%
e 1004
7.7%
o 1004
7.7%
t 1002
7.7%
N 1000
7.7%
b 998
7.7%
v 998
7.7%
Other values (9) 1024
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10034
77.0%
Uppercase Letter 1998
 
15.3%
Space Separator 1004
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
19.9%
a 1998
19.9%
i 1006
10.0%
e 1004
10.0%
o 1004
10.0%
t 1002
10.0%
b 998
9.9%
v 998
9.9%
p 6
 
0.1%
s 4
 
< 0.1%
Other values (6) 16
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 998
49.9%
Space Separator
ValueCountFrequency (%)
1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12032
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.6%
a 1998
16.6%
i 1006
8.4%
e 1004
8.3%
o 1004
8.3%
t 1002
8.3%
N 1000
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
Other values (8) 26
 
0.2%
Common
ValueCountFrequency (%)
1004
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.3%
a 1998
15.3%
i 1006
7.7%
1004
7.7%
e 1004
7.7%
o 1004
7.7%
t 1002
7.7%
N 1000
7.7%
b 998
7.7%
v 998
7.7%
Other values (9) 1024
7.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:46.371051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length7

Characters and Unicode

Total characters12982
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
2.01878 1
 
0.1%
2.08771 1
 
0.1%
1.06456 1
 
0.1%
2023-12-09T20:44:46.670313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
16.7%
1 3
16.7%
8 3
16.7%
7 3
16.7%
2 2
11.1%
6 2
11.1%
4 1
 
5.6%
5 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
97.9%
. 3
 
0.3%
0 3
 
0.3%
1 3
 
0.3%
8 3
 
0.3%
7 3
 
0.3%
2 2
 
0.2%
6 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1018
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:46.844027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.981
Min length6

Characters and Unicode

Total characters12981
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0.67293 1
 
0.1%
0.4234 1
 
0.1%
1.13105 1
 
0.1%
2023-12-09T20:44:47.142190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 17
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
17.6%
3 3
17.6%
1 3
17.6%
2 2
11.8%
4 2
11.8%
6 1
 
5.9%
7 1
 
5.9%
9 1
 
5.9%
5 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1017
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
997
98.0%
0 3
 
0.3%
. 3
 
0.3%
3 3
 
0.3%
1 3
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12981
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1017
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:47.316638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length3

Characters and Unicode

Total characters12970
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
105 1
 
0.1%
248 1
 
0.1%
921 1
 
0.1%
2023-12-09T20:44:47.599791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
2 2
22.2%
0 1
11.1%
5 1
11.1%
4 1
11.1%
8 1
11.1%
9 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
1 2
 
0.2%
2 2
 
0.2%
0 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1006
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:47.773154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.981
Min length6

Characters and Unicode

Total characters12981
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0.67293 1
 
0.1%
0.4234 1
 
0.1%
1.13105 1
 
0.1%
2023-12-09T20:44:48.070342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 17
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
17.6%
3 3
17.6%
1 3
17.6%
2 2
11.8%
4 2
11.8%
6 1
 
5.9%
7 1
 
5.9%
9 1
 
5.9%
5 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1017
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
997
98.0%
0 3
 
0.3%
. 3
 
0.3%
3 3
 
0.3%
1 3
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12981
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1017
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:48.240534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.964
Min length1

Characters and Unicode

Total characters12964
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 3
 
0.2%
2023-12-09T20:44:48.522416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Decimal Number
ValueCountFrequency (%)
0 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.7%
0 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:44:48.692254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.964
Min length1

Characters and Unicode

Total characters12964
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 3
 
0.2%
2023-12-09T20:44:48.979463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Decimal Number
ValueCountFrequency (%)
0 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.7%
0 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%
Distinct105
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:44:49.356640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.305
Min length4

Characters and Unicode

Total characters12305
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)10.4%

Sample

1st row680478.9
2nd row366528
3rd rowNot Available
4th row393087.2
5th row1539113
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
1418610 1
 
0.1%
1052012 1
 
0.1%
767029 1
 
0.1%
1992849 1
 
0.1%
677630 1
 
0.1%
533173 1
 
0.1%
288063 1
 
0.1%
1869756 1
 
0.1%
Other values (96) 96
 
5.1%
2023-12-09T20:44:49.862566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.6%
l 1792
14.6%
N 896
7.3%
o 896
7.3%
b 896
7.3%
i 896
7.3%
e 896
7.3%
v 896
7.3%
A 896
7.3%
896
7.3%
Other values (12) 1553
12.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
72.8%
Uppercase Letter 1792
 
14.6%
Space Separator 896
 
7.3%
Decimal Number 652
 
5.3%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 85
13.0%
3 76
11.7%
2 74
11.3%
0 72
11.0%
7 67
10.3%
8 62
9.5%
9 58
8.9%
5 57
8.7%
6 54
8.3%
4 47
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
o 896
10.0%
b 896
10.0%
i 896
10.0%
e 896
10.0%
v 896
10.0%
t 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
87.4%
Common 1553
 
12.6%

Most frequent character per script

Common
ValueCountFrequency (%)
896
57.7%
1 85
 
5.5%
3 76
 
4.9%
2 74
 
4.8%
0 72
 
4.6%
7 67
 
4.3%
8 62
 
4.0%
9 58
 
3.7%
5 57
 
3.7%
6 54
 
3.5%
Other values (2) 52
 
3.3%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
o 896
8.3%
b 896
8.3%
i 896
8.3%
e 896
8.3%
v 896
8.3%
A 896
8.3%
t 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.6%
l 1792
14.6%
N 896
7.3%
o 896
7.3%
b 896
7.3%
i 896
7.3%
e 896
7.3%
v 896
7.3%
A 896
7.3%
896
7.3%
Other values (12) 1553
12.6%
Distinct103
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:44:50.235585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.085
Min length2

Characters and Unicode

Total characters12085
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)10.0%

Sample

1st row2226.96
2nd row1670
3rd rowNot Available
4th row1860.88
5th row4008
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
1500 2
 
0.1%
1700 2
 
0.1%
178 1
 
0.1%
4200 1
 
0.1%
2750 1
 
0.1%
2942 1
 
0.1%
1932 1
 
0.1%
9862 1
 
0.1%
Other values (94) 94
 
5.0%
2023-12-09T20:44:50.736161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1333
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.1%
Uppercase Letter 1792
 
14.8%
Space Separator 896
 
7.4%
Decimal Number 421
 
3.5%
Other Punctuation 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
17.1%
2 64
15.2%
1 50
11.9%
8 41
9.7%
5 38
9.0%
4 38
9.0%
6 35
8.3%
9 33
7.8%
7 26
 
6.2%
3 24
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
89.0%
Common 1333
 
11.0%

Most frequent character per script

Common
ValueCountFrequency (%)
896
67.2%
0 72
 
5.4%
2 64
 
4.8%
1 50
 
3.8%
8 41
 
3.1%
5 38
 
2.9%
4 38
 
2.9%
6 35
 
2.6%
9 33
 
2.5%
7 26
 
2.0%
Other values (2) 40
 
3.0%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1333
11.0%
Distinct99
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:44:51.107759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.077
Min length2

Characters and Unicode

Total characters12077
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)9.3%

Sample

1st row1176.9
2nd row1518
3rd rowNot Available
4th row1265.48
5th row4727
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
1344 3
 
0.2%
7000 2
 
0.1%
703 2
 
0.1%
2000 2
 
0.1%
1900 2
 
0.1%
3221 1
 
0.1%
5642 1
 
0.1%
7229 1
 
0.1%
Other values (90) 90
 
4.7%
2023-12-09T20:44:51.595455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1325
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.2%
Uppercase Letter 1792
 
14.8%
Space Separator 896
 
7.4%
Decimal Number 413
 
3.4%
Other Punctuation 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
14.8%
1 60
14.5%
5 46
11.1%
2 42
10.2%
4 36
8.7%
9 35
8.5%
8 35
8.5%
3 33
8.0%
6 33
8.0%
7 32
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
89.0%
Common 1325
 
11.0%

Most frequent character per script

Common
ValueCountFrequency (%)
896
67.6%
0 61
 
4.6%
1 60
 
4.5%
5 46
 
3.5%
2 42
 
3.2%
4 36
 
2.7%
9 35
 
2.6%
8 35
 
2.6%
3 33
 
2.5%
6 33
 
2.5%
Other values (2) 48
 
3.6%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12077
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1325
11.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:44:51.784797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.968
Min length3

Characters and Unicode

Total characters11968
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row100
2nd row100
3rd rowNot Available
4th row100
5th row100
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
100 100
 
5.3%
99.84 2
 
0.1%
93.42 1
 
0.1%
70.89 1
 
0.1%
2023-12-09T20:44:52.073109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
15.0%
l 1792
15.0%
N 896
7.5%
o 896
7.5%
b 896
7.5%
i 896
7.5%
e 896
7.5%
v 896
7.5%
A 896
7.5%
896
7.5%
Other values (10) 1216
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.9%
Uppercase Letter 1792
 
15.0%
Space Separator 896
 
7.5%
Decimal Number 316
 
2.6%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
o 896
10.0%
b 896
10.0%
i 896
10.0%
e 896
10.0%
v 896
10.0%
t 896
10.0%
Decimal Number
ValueCountFrequency (%)
0 201
63.6%
1 100
31.6%
9 6
 
1.9%
8 3
 
0.9%
4 3
 
0.9%
3 1
 
0.3%
2 1
 
0.3%
7 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
89.8%
Common 1216
 
10.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
o 896
8.3%
b 896
8.3%
i 896
8.3%
e 896
8.3%
v 896
8.3%
A 896
8.3%
t 896
8.3%
Common
ValueCountFrequency (%)
896
73.7%
0 201
 
16.5%
1 100
 
8.2%
9 6
 
0.5%
. 4
 
0.3%
8 3
 
0.2%
4 3
 
0.2%
3 1
 
0.1%
2 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
15.0%
l 1792
15.0%
N 896
7.5%
o 896
7.5%
b 896
7.5%
i 896
7.5%
e 896
7.5%
v 896
7.5%
A 896
7.5%
896
7.5%
Other values (10) 1216
10.2%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:44:52.254405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.971
Min length3

Characters and Unicode

Total characters11971
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row100
2nd row100
3rd rowNot Available
4th row100
5th row100
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
100 98
 
5.2%
69.2 1
 
0.1%
93.42 1
 
0.1%
99.84 1
 
0.1%
99.57 1
 
0.1%
98.96 1
 
0.1%
73.99 1
 
0.1%
2023-12-09T20:44:52.549737image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
15.0%
l 1792
15.0%
N 896
7.5%
t 896
7.5%
896
7.5%
A 896
7.5%
v 896
7.5%
i 896
7.5%
b 896
7.5%
e 896
7.5%
Other values (12) 1219
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.8%
Uppercase Letter 1792
 
15.0%
Space Separator 896
 
7.5%
Decimal Number 317
 
2.6%
Other Punctuation 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
61.8%
1 98
30.9%
9 10
 
3.2%
6 2
 
0.6%
2 2
 
0.6%
3 2
 
0.6%
4 2
 
0.6%
8 2
 
0.6%
7 2
 
0.6%
5 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
89.8%
Common 1219
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
896
73.5%
0 196
 
16.1%
1 98
 
8.0%
9 10
 
0.8%
. 6
 
0.5%
6 2
 
0.2%
2 2
 
0.2%
3 2
 
0.2%
4 2
 
0.2%
8 2
 
0.2%
Other values (2) 3
 
0.2%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
15.0%
l 1792
15.0%
N 896
7.5%
t 896
7.5%
896
7.5%
A 896
7.5%
v 896
7.5%
i 896
7.5%
b 896
7.5%
e 896
7.5%
Other values (12) 1219
10.2%
Distinct86
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:44:52.861825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.077
Min length2

Characters and Unicode

Total characters12077
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)8.2%

Sample

1st row46.3
2nd row65
3rd rowNot Available
4th row73.22
5th row78.4
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
65 14
 
0.7%
60 5
 
0.3%
70 3
 
0.2%
54.12 1
 
0.1%
30.55 1
 
0.1%
46.61 1
 
0.1%
60.95 1
 
0.1%
56.37 1
 
0.1%
Other values (77) 77
 
4.1%
2023-12-09T20:44:53.310576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1325
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.2%
Uppercase Letter 1792
 
14.8%
Space Separator 896
 
7.4%
Decimal Number 356
 
2.9%
Other Punctuation 73
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 73
20.5%
5 60
16.9%
7 34
9.6%
1 34
9.6%
0 28
 
7.9%
9 28
 
7.9%
3 28
 
7.9%
4 27
 
7.6%
2 25
 
7.0%
8 19
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
89.0%
Common 1325
 
11.0%

Most frequent character per script

Common
ValueCountFrequency (%)
896
67.6%
. 73
 
5.5%
6 73
 
5.5%
5 60
 
4.5%
7 34
 
2.6%
1 34
 
2.6%
0 28
 
2.1%
9 28
 
2.1%
3 28
 
2.1%
4 27
 
2.0%
Other values (2) 44
 
3.3%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12077
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1325
11.0%
Distinct105
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:44:53.701369image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.362
Min length3

Characters and Unicode

Total characters12362
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)10.4%

Sample

1st row1.72952
2nd row4.14157
3rd rowNot Available
4th row3.21933
5th row3.07125
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
20.7 1
 
0.1%
1.60072 1
 
0.1%
0.07174 1
 
0.1%
2.03741 1
 
0.1%
2.32935 1
 
0.1%
2.40501 1
 
0.1%
5.2534 1
 
0.1%
2.00428 1
 
0.1%
Other values (96) 96
 
5.1%
2023-12-09T20:44:54.216248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.5%
l 1792
14.5%
N 896
7.2%
t 896
7.2%
896
7.2%
A 896
7.2%
v 896
7.2%
i 896
7.2%
b 896
7.2%
e 896
7.2%
Other values (12) 1610
13.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
72.5%
Uppercase Letter 1792
 
14.5%
Space Separator 896
 
7.2%
Decimal Number 610
 
4.9%
Other Punctuation 104
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 96
15.7%
3 88
14.4%
5 61
10.0%
1 60
9.8%
4 58
9.5%
0 55
9.0%
7 54
8.9%
8 49
8.0%
9 48
7.9%
6 41
6.7%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
87.0%
Common 1610
 
13.0%

Most frequent character per script

Common
ValueCountFrequency (%)
896
55.7%
. 104
 
6.5%
2 96
 
6.0%
3 88
 
5.5%
5 61
 
3.8%
1 60
 
3.7%
4 58
 
3.6%
0 55
 
3.4%
7 54
 
3.4%
8 49
 
3.0%
Other values (2) 89
 
5.5%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.5%
l 1792
14.5%
N 896
7.2%
t 896
7.2%
896
7.2%
A 896
7.2%
v 896
7.2%
i 896
7.2%
b 896
7.2%
e 896
7.2%
Other values (12) 1610
13.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:54.407390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
125362 1
 
0.1%
2023-12-09T20:44:54.701918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 1
16.7%
5 1
16.7%
3 1
16.7%
6 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
2 2
 
0.2%
1 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:54.870852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5000 1
 
0.1%
2023-12-09T20:44:55.152111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
5 1
 
25.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 3
 
0.3%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%
Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:55.369295image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.804
Min length3

Characters and Unicode

Total characters12804
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
302882 1
 
0.1%
12093 1
 
0.1%
190 1
 
0.1%
2675 1
 
0.1%
8270 1
 
0.1%
4847 1
 
0.1%
169924 1
 
0.1%
13733 1
 
0.1%
Other values (15) 15
 
0.8%
2023-12-09T20:44:55.707592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.6%
t 977
7.6%
977
7.6%
A 977
7.6%
v 977
7.6%
i 977
7.6%
b 977
7.6%
e 977
7.6%
Other values (12) 1080
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.3%
Uppercase Letter 1954
 
15.3%
Space Separator 977
 
7.6%
Decimal Number 102
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
20.6%
1 12
11.8%
2 12
11.8%
3 12
11.8%
7 10
9.8%
8 9
8.8%
6 8
 
7.8%
9 7
 
6.9%
4 7
 
6.9%
5 4
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
t 977
10.0%
v 977
10.0%
i 977
10.0%
b 977
10.0%
e 977
10.0%
o 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.6%
Common 1080
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
977
90.5%
0 21
 
1.9%
1 12
 
1.1%
2 12
 
1.1%
3 12
 
1.1%
7 10
 
0.9%
8 9
 
0.8%
6 8
 
0.7%
9 7
 
0.6%
4 7
 
0.6%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
t 977
8.3%
A 977
8.3%
v 977
8.3%
i 977
8.3%
b 977
8.3%
e 977
8.3%
o 977
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.6%
t 977
7.6%
977
7.6%
A 977
7.6%
v 977
7.6%
i 977
7.6%
b 977
7.6%
e 977
7.6%
Other values (12) 1080
8.4%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:55.906023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.806
Min length1

Characters and Unicode

Total characters12806
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 981
49.5%
available 981
49.5%
70 3
 
0.2%
0 2
 
0.1%
40 2
 
0.1%
72 1
 
0.1%
89.44 1
 
0.1%
49 1
 
0.1%
50.37 1
 
0.1%
46 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:44:56.228663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1962
15.3%
l 1962
15.3%
N 981
7.7%
t 981
7.7%
981
7.7%
A 981
7.7%
v 981
7.7%
i 981
7.7%
b 981
7.7%
e 981
7.7%
Other values (12) 1034
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9810
76.6%
Uppercase Letter 1962
 
15.3%
Space Separator 981
 
7.7%
Decimal Number 48
 
0.4%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 9
18.8%
0 9
18.8%
7 6
12.5%
6 5
10.4%
9 5
10.4%
2 5
10.4%
8 3
 
6.2%
1 3
 
6.2%
5 2
 
4.2%
3 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
a 1962
20.0%
l 1962
20.0%
t 981
10.0%
v 981
10.0%
i 981
10.0%
b 981
10.0%
e 981
10.0%
o 981
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 981
50.0%
A 981
50.0%
Space Separator
ValueCountFrequency (%)
981
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11772
91.9%
Common 1034
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
981
94.9%
4 9
 
0.9%
0 9
 
0.9%
7 6
 
0.6%
6 5
 
0.5%
9 5
 
0.5%
. 5
 
0.5%
2 5
 
0.5%
8 3
 
0.3%
1 3
 
0.3%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1962
16.7%
l 1962
16.7%
N 981
8.3%
t 981
8.3%
A 981
8.3%
v 981
8.3%
i 981
8.3%
b 981
8.3%
e 981
8.3%
o 981
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1962
15.3%
l 1962
15.3%
N 981
7.7%
t 981
7.7%
981
7.7%
A 981
7.7%
v 981
7.7%
i 981
7.7%
b 981
7.7%
e 981
7.7%
Other values (12) 1034
8.1%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:56.428058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.771
Min length1

Characters and Unicode

Total characters12771
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
0 4
 
0.2%
5 3
 
0.2%
10 3
 
0.2%
1 2
 
0.1%
2 2
 
0.1%
15 1
 
0.1%
17 1
 
0.1%
1015 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:44:56.738193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.7%
o 980
7.7%
b 980
7.7%
i 980
7.7%
e 980
7.7%
v 980
7.7%
A 980
7.7%
980
7.7%
Other values (10) 1011
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.7%
Uppercase Letter 1960
 
15.3%
Space Separator 980
 
7.7%
Decimal Number 31
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
29.0%
0 8
25.8%
5 5
16.1%
2 3
 
9.7%
3 2
 
6.5%
7 1
 
3.2%
4 1
 
3.2%
8 1
 
3.2%
6 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
b 980
10.0%
i 980
10.0%
e 980
10.0%
v 980
10.0%
t 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
92.1%
Common 1011
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
b 980
8.3%
i 980
8.3%
e 980
8.3%
v 980
8.3%
A 980
8.3%
t 980
8.3%
Common
ValueCountFrequency (%)
980
96.9%
1 9
 
0.9%
0 8
 
0.8%
5 5
 
0.5%
2 3
 
0.3%
3 2
 
0.2%
7 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.7%
o 980
7.7%
b 980
7.7%
i 980
7.7%
e 980
7.7%
v 980
7.7%
A 980
7.7%
980
7.7%
Other values (10) 1011
7.9%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:56.933477image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.771
Min length1

Characters and Unicode

Total characters12771
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
3 3
 
0.2%
1 2
 
0.1%
0 2
 
0.1%
53 1
 
0.1%
16 1
 
0.1%
7 1
 
0.1%
18 1
 
0.1%
40 1
 
0.1%
Other values (8) 8
 
0.4%
2023-12-09T20:44:57.250521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.7%
o 980
7.7%
b 980
7.7%
i 980
7.7%
e 980
7.7%
v 980
7.7%
A 980
7.7%
980
7.7%
Other values (11) 1011
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.7%
Uppercase Letter 1960
 
15.3%
Space Separator 980
 
7.7%
Decimal Number 31
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
25.8%
1 7
22.6%
0 5
16.1%
7 3
 
9.7%
5 2
 
6.5%
4 2
 
6.5%
2 1
 
3.2%
9 1
 
3.2%
8 1
 
3.2%
6 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
b 980
10.0%
i 980
10.0%
e 980
10.0%
v 980
10.0%
t 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
92.1%
Common 1011
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
980
96.9%
3 8
 
0.8%
1 7
 
0.7%
0 5
 
0.5%
7 3
 
0.3%
5 2
 
0.2%
4 2
 
0.2%
2 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
b 980
8.3%
i 980
8.3%
e 980
8.3%
v 980
8.3%
A 980
8.3%
t 980
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.7%
o 980
7.7%
b 980
7.7%
i 980
7.7%
e 980
7.7%
v 980
7.7%
A 980
7.7%
980
7.7%
Other values (11) 1011
7.9%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:44:57.461635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.854
Min length1

Characters and Unicode

Total characters12854
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
0 4
 
0.2%
0.32415 1
 
0.1%
0.98503 1
 
0.1%
0.77119 1
 
0.1%
1.23789 1
 
0.1%
2.57732 1
 
0.1%
2.04797 1
 
0.1%
16.66667 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:44:57.799586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
t 980
7.6%
980
7.6%
A 980
7.6%
v 980
7.6%
i 980
7.6%
b 980
7.6%
Other values (12) 1094
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.2%
Uppercase Letter 1960
 
15.2%
Space Separator 980
 
7.6%
Decimal Number 98
 
0.8%
Other Punctuation 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
18.4%
6 12
12.2%
1 12
12.2%
3 11
11.2%
8 9
9.2%
7 9
9.2%
5 8
8.2%
9 8
8.2%
2 7
 
7.1%
4 4
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
t 980
10.0%
v 980
10.0%
i 980
10.0%
b 980
10.0%
e 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
91.5%
Common 1094
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
980
89.6%
0 18
 
1.6%
. 16
 
1.5%
6 12
 
1.1%
1 12
 
1.1%
3 11
 
1.0%
8 9
 
0.8%
7 9
 
0.8%
5 8
 
0.7%
9 8
 
0.7%
Other values (2) 11
 
1.0%
Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
t 980
8.3%
A 980
8.3%
v 980
8.3%
i 980
8.3%
b 980
8.3%
e 980
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
t 980
7.6%
980
7.6%
A 980
7.6%
v 980
7.6%
i 980
7.6%
b 980
7.6%
Other values (12) 1094
8.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:57.981673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
145192 1
 
0.1%
2023-12-09T20:44:58.296473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
4 1
16.7%
5 1
16.7%
9 1
16.7%
2 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
1 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:58.472352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:44:58.766756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:58.943011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
60000 1
 
0.1%
2023-12-09T20:44:59.259118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
0 4
80.0%
6 1
 
20.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
0 4
 
0.4%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:59.432147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5000 1
 
0.1%
2023-12-09T20:44:59.718529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
5 1
 
25.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 3
 
0.3%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:44:59.885618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:45:00.179691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:00.352968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
591640 1
 
0.1%
2023-12-09T20:45:00.650644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
20.0%
a 1998
20.0%
e 999
10.0%
b 999
10.0%
o 999
10.0%
i 999
10.0%
v 999
10.0%
t 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
16.7%
9 1
16.7%
1 1
16.7%
6 1
16.7%
4 1
16.7%
0 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.7%
a 1998
16.7%
e 999
8.3%
b 999
8.3%
o 999
8.3%
i 999
8.3%
N 999
8.3%
v 999
8.3%
A 999
8.3%
t 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
5 1
 
0.1%
9 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1005
7.7%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:45:00.872749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.782
Min length1

Characters and Unicode

Total characters12782
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 975
49.4%
available 975
49.4%
1800 1
 
0.1%
2246 1
 
0.1%
5644 1
 
0.1%
624.9 1
 
0.1%
9005 1
 
0.1%
9312 1
 
0.1%
1409 1
 
0.1%
12350 1
 
0.1%
Other values (17) 17
 
0.9%
2023-12-09T20:45:01.228264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1950
15.3%
l 1950
15.3%
N 975
7.6%
t 975
7.6%
975
7.6%
A 975
7.6%
v 975
7.6%
i 975
7.6%
b 975
7.6%
e 975
7.6%
Other values (12) 1082
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9750
76.3%
Uppercase Letter 1950
 
15.3%
Space Separator 975
 
7.6%
Decimal Number 106
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
14.2%
0 15
14.2%
4 13
12.3%
3 12
11.3%
9 12
11.3%
2 11
10.4%
5 10
9.4%
6 9
8.5%
8 5
 
4.7%
7 4
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1950
20.0%
l 1950
20.0%
t 975
10.0%
v 975
10.0%
i 975
10.0%
b 975
10.0%
e 975
10.0%
o 975
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 975
50.0%
A 975
50.0%
Space Separator
ValueCountFrequency (%)
975
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11700
91.5%
Common 1082
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
975
90.1%
1 15
 
1.4%
0 15
 
1.4%
4 13
 
1.2%
3 12
 
1.1%
9 12
 
1.1%
2 11
 
1.0%
5 10
 
0.9%
6 9
 
0.8%
8 5
 
0.5%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1950
16.7%
l 1950
16.7%
N 975
8.3%
t 975
8.3%
A 975
8.3%
v 975
8.3%
i 975
8.3%
b 975
8.3%
e 975
8.3%
o 975
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12782
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1950
15.3%
l 1950
15.3%
N 975
7.6%
t 975
7.6%
975
7.6%
A 975
7.6%
v 975
7.6%
i 975
7.6%
b 975
7.6%
e 975
7.6%
Other values (12) 1082
8.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:01.410021image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
9004 1
 
0.1%
2023-12-09T20:45:01.703886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
9 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 2
 
0.2%
9 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1003
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:01.873584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
67129 1
 
0.1%
2023-12-09T20:45:02.176043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
6 1
20.0%
7 1
20.0%
1 1
20.0%
2 1
20.0%
9 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
6 1
 
0.1%
7 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:02.352505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
69019 1
 
0.1%
2023-12-09T20:45:02.650211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
9 2
40.0%
6 1
20.0%
0 1
20.0%
1 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
9 2
 
0.2%
6 1
 
0.1%
0 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:02.820394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
85082 1
 
0.1%
2023-12-09T20:45:03.118154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
5 1
20.0%
0 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
8 2
 
0.2%
5 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:03.290190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:45:03.571928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct48
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:45:03.842641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.627
Min length4

Characters and Unicode

Total characters12627
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)4.7%

Sample

1st rowNot Available
2nd row15789
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 953
48.8%
available 953
48.8%
667322 1
 
0.1%
16871 1
 
0.1%
12560 1
 
0.1%
166320 1
 
0.1%
68623 1
 
0.1%
133882 1
 
0.1%
19134 1
 
0.1%
34137 1
 
0.1%
Other values (39) 39
 
2.0%
2023-12-09T20:45:04.241018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1906
15.1%
l 1906
15.1%
N 953
7.5%
o 953
7.5%
b 953
7.5%
i 953
7.5%
e 953
7.5%
v 953
7.5%
A 953
7.5%
953
7.5%
Other values (11) 1191
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9530
75.5%
Uppercase Letter 1906
 
15.1%
Space Separator 953
 
7.5%
Decimal Number 238
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
13.9%
6 30
12.6%
8 27
11.3%
2 25
10.5%
4 25
10.5%
7 21
8.8%
3 21
8.8%
0 20
8.4%
5 18
7.6%
9 18
7.6%
Lowercase Letter
ValueCountFrequency (%)
a 1906
20.0%
l 1906
20.0%
o 953
10.0%
b 953
10.0%
i 953
10.0%
e 953
10.0%
v 953
10.0%
t 953
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 953
50.0%
A 953
50.0%
Space Separator
ValueCountFrequency (%)
953
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11436
90.6%
Common 1191
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
953
80.0%
1 33
 
2.8%
6 30
 
2.5%
8 27
 
2.3%
2 25
 
2.1%
4 25
 
2.1%
7 21
 
1.8%
3 21
 
1.8%
0 20
 
1.7%
5 18
 
1.5%
Latin
ValueCountFrequency (%)
a 1906
16.7%
l 1906
16.7%
N 953
8.3%
o 953
8.3%
b 953
8.3%
i 953
8.3%
e 953
8.3%
v 953
8.3%
A 953
8.3%
t 953
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1906
15.1%
l 1906
15.1%
N 953
7.5%
o 953
7.5%
b 953
7.5%
i 953
7.5%
e 953
7.5%
v 953
7.5%
A 953
7.5%
953
7.5%
Other values (11) 1191
9.4%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:45:04.492472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.849
Min length1

Characters and Unicode

Total characters12849
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
0 2
 
0.1%
1.54152 1
 
0.1%
1.93892 1
 
0.1%
3.89822 1
 
0.1%
1.45121 1
 
0.1%
3.10406 1
 
0.1%
1.68876 1
 
0.1%
5.26316 1
 
0.1%
Other values (14) 14
 
0.7%
2023-12-09T20:45:04.859538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.2%
l 1954
15.2%
N 977
7.6%
t 977
7.6%
977
7.6%
A 977
7.6%
v 977
7.6%
i 977
7.6%
b 977
7.6%
e 977
7.6%
Other values (12) 1125
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.0%
Uppercase Letter 1954
 
15.2%
Space Separator 977
 
7.6%
Decimal Number 127
 
1.0%
Other Punctuation 21
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 20
15.7%
1 19
15.0%
4 14
11.0%
8 14
11.0%
0 12
9.4%
3 11
8.7%
2 11
8.7%
5 10
7.9%
9 9
7.1%
7 7
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
t 977
10.0%
v 977
10.0%
i 977
10.0%
b 977
10.0%
e 977
10.0%
o 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.2%
Common 1125
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
977
86.8%
. 21
 
1.9%
6 20
 
1.8%
1 19
 
1.7%
4 14
 
1.2%
8 14
 
1.2%
0 12
 
1.1%
3 11
 
1.0%
2 11
 
1.0%
5 10
 
0.9%
Other values (2) 16
 
1.4%
Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
t 977
8.3%
A 977
8.3%
v 977
8.3%
i 977
8.3%
b 977
8.3%
e 977
8.3%
o 977
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.2%
l 1954
15.2%
N 977
7.6%
t 977
7.6%
977
7.6%
A 977
7.6%
v 977
7.6%
i 977
7.6%
b 977
7.6%
e 977
7.6%
Other values (12) 1125
8.8%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:45:05.070342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.749
Min length1

Characters and Unicode

Total characters12749
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 976
49.4%
available 976
49.4%
0 3
 
0.2%
119 2
 
0.1%
51 2
 
0.1%
70 2
 
0.1%
67 1
 
0.1%
104 1
 
0.1%
87 1
 
0.1%
57 1
 
0.1%
Other values (11) 11
 
0.6%
2023-12-09T20:45:05.406258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1952
15.3%
l 1952
15.3%
N 976
7.7%
o 976
7.7%
b 976
7.7%
i 976
7.7%
e 976
7.7%
v 976
7.7%
A 976
7.7%
976
7.7%
Other values (11) 1037
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9760
76.6%
Uppercase Letter 1952
 
15.3%
Space Separator 976
 
7.7%
Decimal Number 57
 
0.4%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
19.3%
1 10
17.5%
5 9
15.8%
6 7
12.3%
7 6
10.5%
9 4
 
7.0%
8 4
 
7.0%
3 3
 
5.3%
4 3
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1952
20.0%
l 1952
20.0%
o 976
10.0%
b 976
10.0%
i 976
10.0%
e 976
10.0%
v 976
10.0%
t 976
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 976
50.0%
A 976
50.0%
Space Separator
ValueCountFrequency (%)
976
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11712
91.9%
Common 1037
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
976
94.1%
0 11
 
1.1%
1 10
 
1.0%
5 9
 
0.9%
6 7
 
0.7%
7 6
 
0.6%
9 4
 
0.4%
8 4
 
0.4%
. 4
 
0.4%
3 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1952
16.7%
l 1952
16.7%
N 976
8.3%
o 976
8.3%
b 976
8.3%
i 976
8.3%
e 976
8.3%
v 976
8.3%
A 976
8.3%
t 976
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12749
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1952
15.3%
l 1952
15.3%
N 976
7.7%
o 976
7.7%
b 976
7.7%
i 976
7.7%
e 976
7.7%
v 976
7.7%
A 976
7.7%
976
7.7%
Other values (11) 1037
8.1%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:45:05.595252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.478
Min length1

Characters and Unicode

Total characters12478
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th row0.03181
ValueCountFrequency (%)
not 953
48.8%
available 953
48.8%
0 40
 
2.0%
0.05859 1
 
0.1%
0.06596 1
 
0.1%
0.05004 1
 
0.1%
0.03181 1
 
0.1%
0.14784 1
 
0.1%
0.01499 1
 
0.1%
0.03081 1
 
0.1%
2023-12-09T20:45:05.910492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1906
15.3%
l 1906
15.3%
N 953
7.6%
o 953
7.6%
b 953
7.6%
i 953
7.6%
e 953
7.6%
v 953
7.6%
A 953
7.6%
953
7.6%
Other values (11) 1042
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9530
76.4%
Uppercase Letter 1906
 
15.3%
Space Separator 953
 
7.6%
Decimal Number 82
 
0.7%
Other Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
68.3%
1 5
 
6.1%
5 4
 
4.9%
8 4
 
4.9%
9 4
 
4.9%
4 4
 
4.9%
6 2
 
2.4%
3 2
 
2.4%
7 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 1906
20.0%
l 1906
20.0%
o 953
10.0%
b 953
10.0%
i 953
10.0%
e 953
10.0%
v 953
10.0%
t 953
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 953
50.0%
A 953
50.0%
Space Separator
ValueCountFrequency (%)
953
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11436
91.6%
Common 1042
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
953
91.5%
0 56
 
5.4%
. 7
 
0.7%
1 5
 
0.5%
5 4
 
0.4%
8 4
 
0.4%
9 4
 
0.4%
4 4
 
0.4%
6 2
 
0.2%
3 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1906
16.7%
l 1906
16.7%
N 953
8.3%
o 953
8.3%
b 953
8.3%
i 953
8.3%
e 953
8.3%
v 953
8.3%
A 953
8.3%
t 953
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1906
15.3%
l 1906
15.3%
N 953
7.6%
o 953
7.6%
b 953
7.6%
i 953
7.6%
e 953
7.6%
v 953
7.6%
A 953
7.6%
953
7.6%
Other values (11) 1042
8.4%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:45:06.084646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.53
Min length2

Characters and Unicode

Total characters12530
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd row100
3rd rowNot Available
4th rowNot Available
5th row100
ValueCountFrequency (%)
not 953
48.8%
available 953
48.8%
100 44
 
2.3%
80 2
 
0.1%
95.52 1
 
0.1%
2023-12-09T20:45:06.381398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1906
15.2%
l 1906
15.2%
N 953
7.6%
e 953
7.6%
o 953
7.6%
i 953
7.6%
b 953
7.6%
v 953
7.6%
A 953
7.6%
953
7.6%
Other values (8) 1094
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9530
76.1%
Uppercase Letter 1906
 
15.2%
Space Separator 953
 
7.6%
Decimal Number 140
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1906
20.0%
l 1906
20.0%
e 953
10.0%
o 953
10.0%
i 953
10.0%
b 953
10.0%
v 953
10.0%
t 953
10.0%
Decimal Number
ValueCountFrequency (%)
0 90
64.3%
1 44
31.4%
8 2
 
1.4%
5 2
 
1.4%
9 1
 
0.7%
2 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
N 953
50.0%
A 953
50.0%
Space Separator
ValueCountFrequency (%)
953
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11436
91.3%
Common 1094
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1906
16.7%
l 1906
16.7%
N 953
8.3%
e 953
8.3%
o 953
8.3%
i 953
8.3%
b 953
8.3%
v 953
8.3%
A 953
8.3%
t 953
8.3%
Common
ValueCountFrequency (%)
953
87.1%
0 90
 
8.2%
1 44
 
4.0%
8 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%
. 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1906
15.2%
l 1906
15.2%
N 953
7.6%
e 953
7.6%
o 953
7.6%
i 953
7.6%
b 953
7.6%
v 953
7.6%
A 953
7.6%
953
7.6%
Other values (8) 1094
8.7%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:45:06.584064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.53
Min length1

Characters and Unicode

Total characters12530
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th row0.07954
ValueCountFrequency (%)
not 953
48.8%
available 953
48.8%
0 31
 
1.6%
0.15485 1
 
0.1%
0.05838 1
 
0.1%
0.27877 1
 
0.1%
0.46171 1
 
0.1%
0.28172 1
 
0.1%
0.07954 1
 
0.1%
0.44352 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:45:06.905845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1906
15.2%
l 1906
15.2%
N 953
7.6%
o 953
7.6%
t 953
7.6%
953
7.6%
A 953
7.6%
v 953
7.6%
i 953
7.6%
b 953
7.6%
Other values (12) 1094
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9530
76.1%
Uppercase Letter 1906
 
15.2%
Space Separator 953
 
7.6%
Decimal Number 125
 
1.0%
Other Punctuation 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
42.4%
1 11
 
8.8%
4 11
 
8.8%
8 11
 
8.8%
5 10
 
8.0%
2 7
 
5.6%
7 7
 
5.6%
9 5
 
4.0%
6 5
 
4.0%
3 5
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
a 1906
20.0%
l 1906
20.0%
o 953
10.0%
t 953
10.0%
v 953
10.0%
i 953
10.0%
b 953
10.0%
e 953
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 953
50.0%
A 953
50.0%
Space Separator
ValueCountFrequency (%)
953
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11436
91.3%
Common 1094
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
953
87.1%
0 53
 
4.8%
. 16
 
1.5%
1 11
 
1.0%
4 11
 
1.0%
8 11
 
1.0%
5 10
 
0.9%
2 7
 
0.6%
7 7
 
0.6%
9 5
 
0.5%
Other values (2) 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1906
16.7%
l 1906
16.7%
N 953
8.3%
o 953
8.3%
t 953
8.3%
A 953
8.3%
v 953
8.3%
i 953
8.3%
b 953
8.3%
e 953
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1906
15.2%
l 1906
15.2%
N 953
7.6%
o 953
7.6%
t 953
7.6%
953
7.6%
A 953
7.6%
v 953
7.6%
i 953
7.6%
b 953
7.6%
Other values (12) 1094
8.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:45:07.086082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.437
Min length1

Characters and Unicode

Total characters12437
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th row2
ValueCountFrequency (%)
not 953
48.8%
available 953
48.8%
0 40
 
2.0%
1 2
 
0.1%
7 2
 
0.1%
2 2
 
0.1%
10 1
 
0.1%
2023-12-09T20:45:07.381528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1906
15.3%
l 1906
15.3%
N 953
7.7%
o 953
7.7%
t 953
7.7%
953
7.7%
A 953
7.7%
v 953
7.7%
i 953
7.7%
b 953
7.7%
Other values (5) 1001
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9530
76.6%
Uppercase Letter 1906
 
15.3%
Space Separator 953
 
7.7%
Decimal Number 48
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1906
20.0%
l 1906
20.0%
o 953
10.0%
t 953
10.0%
v 953
10.0%
i 953
10.0%
b 953
10.0%
e 953
10.0%
Decimal Number
ValueCountFrequency (%)
0 41
85.4%
1 3
 
6.2%
7 2
 
4.2%
2 2
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
N 953
50.0%
A 953
50.0%
Space Separator
ValueCountFrequency (%)
953
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11436
92.0%
Common 1001
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1906
16.7%
l 1906
16.7%
N 953
8.3%
o 953
8.3%
t 953
8.3%
A 953
8.3%
v 953
8.3%
i 953
8.3%
b 953
8.3%
e 953
8.3%
Common
ValueCountFrequency (%)
953
95.2%
0 41
 
4.1%
1 3
 
0.3%
7 2
 
0.2%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1906
15.3%
l 1906
15.3%
N 953
7.7%
o 953
7.7%
t 953
7.7%
953
7.7%
A 953
7.7%
v 953
7.7%
i 953
7.7%
b 953
7.7%
Other values (5) 1001
8.0%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:45:07.570781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.442
Min length1

Characters and Unicode

Total characters12442
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th row5
ValueCountFrequency (%)
not 953
48.8%
available 953
48.8%
0 31
 
1.6%
5 3
 
0.2%
1 3
 
0.2%
2 2
 
0.1%
69 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
7 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:45:07.892167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1906
15.3%
l 1906
15.3%
N 953
7.7%
o 953
7.7%
b 953
7.7%
i 953
7.7%
e 953
7.7%
v 953
7.7%
A 953
7.7%
953
7.7%
Other values (10) 1006
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9530
76.6%
Uppercase Letter 1906
 
15.3%
Space Separator 953
 
7.7%
Decimal Number 53
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
58.5%
1 7
 
13.2%
5 4
 
7.5%
6 3
 
5.7%
2 2
 
3.8%
9 2
 
3.8%
3 2
 
3.8%
7 1
 
1.9%
4 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1906
20.0%
l 1906
20.0%
o 953
10.0%
b 953
10.0%
i 953
10.0%
e 953
10.0%
v 953
10.0%
t 953
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 953
50.0%
A 953
50.0%
Space Separator
ValueCountFrequency (%)
953
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11436
91.9%
Common 1006
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1906
16.7%
l 1906
16.7%
N 953
8.3%
o 953
8.3%
b 953
8.3%
i 953
8.3%
e 953
8.3%
v 953
8.3%
A 953
8.3%
t 953
8.3%
Common
ValueCountFrequency (%)
953
94.7%
0 31
 
3.1%
1 7
 
0.7%
5 4
 
0.4%
6 3
 
0.3%
2 2
 
0.2%
9 2
 
0.2%
3 2
 
0.2%
7 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1906
15.3%
l 1906
15.3%
N 953
7.7%
o 953
7.7%
b 953
7.7%
i 953
7.7%
e 953
7.7%
v 953
7.7%
A 953
7.7%
953
7.7%
Other values (10) 1006
8.1%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:45:08.122408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.753
Min length1

Characters and Unicode

Total characters12753
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
0 2
 
0.1%
68700 1
 
0.1%
42674 1
 
0.1%
20204 1
 
0.1%
26555 1
 
0.1%
39590 1
 
0.1%
72752 1
 
0.1%
35532 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:45:08.494809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1113
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.1%
Uppercase Letter 1940
 
15.2%
Space Separator 970
 
7.6%
Decimal Number 143
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
22.4%
7 15
10.5%
8 15
10.5%
4 14
9.8%
2 14
9.8%
1 13
9.1%
6 11
 
7.7%
5 10
 
7.0%
9 10
 
7.0%
3 9
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
o 970
10.0%
b 970
10.0%
i 970
10.0%
e 970
10.0%
v 970
10.0%
t 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.3%
Common 1113
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
970
87.2%
0 32
 
2.9%
7 15
 
1.3%
8 15
 
1.3%
4 14
 
1.3%
2 14
 
1.3%
1 13
 
1.2%
6 11
 
1.0%
5 10
 
0.9%
9 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
o 970
8.3%
b 970
8.3%
i 970
8.3%
e 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12753
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1113
8.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:45:08.687066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.652
Min length1

Characters and Unicode

Total characters12652
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
0 27
 
1.4%
91262 1
 
0.1%
2464 1
 
0.1%
198170 1
 
0.1%
2023-12-09T20:45:08.994577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.7%
e 970
7.7%
o 970
7.7%
i 970
7.7%
b 970
7.7%
v 970
7.7%
A 970
7.7%
970
7.7%
Other values (9) 1012
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.7%
Uppercase Letter 1940
 
15.3%
Space Separator 970
 
7.7%
Decimal Number 42
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
e 970
10.0%
o 970
10.0%
i 970
10.0%
b 970
10.0%
v 970
10.0%
t 970
10.0%
Decimal Number
ValueCountFrequency (%)
0 28
66.7%
1 3
 
7.1%
2 3
 
7.1%
9 2
 
4.8%
6 2
 
4.8%
4 2
 
4.8%
8 1
 
2.4%
7 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
92.0%
Common 1012
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
e 970
8.3%
o 970
8.3%
i 970
8.3%
b 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%
Common
ValueCountFrequency (%)
970
95.8%
0 28
 
2.8%
1 3
 
0.3%
2 3
 
0.3%
9 2
 
0.2%
6 2
 
0.2%
4 2
 
0.2%
8 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.7%
e 970
7.7%
o 970
7.7%
i 970
7.7%
b 970
7.7%
v 970
7.7%
A 970
7.7%
970
7.7%
Other values (9) 1012
8.0%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:09.180635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.966
Min length6

Characters and Unicode

Total characters12966
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
893750 1
 
0.1%
200000 1
 
0.1%
1165000 1
 
0.1%
192000 1
 
0.1%
296302 1
 
0.1%
2023-12-09T20:45:09.499113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 31
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
41.9%
2 4
 
12.9%
9 3
 
9.7%
1 3
 
9.7%
3 2
 
6.5%
5 2
 
6.5%
6 2
 
6.5%
8 1
 
3.2%
7 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1026
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.0%
0 13
 
1.3%
2 4
 
0.4%
9 3
 
0.3%
1 3
 
0.3%
3 2
 
0.2%
5 2
 
0.2%
6 2
 
0.2%
8 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1026
7.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:09.682894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length1

Characters and Unicode

Total characters12970
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 1
 
0.1%
4670 1
 
0.1%
1925 1
 
0.1%
2023-12-09T20:45:09.972445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
22.2%
4 1
11.1%
6 1
11.1%
7 1
11.1%
1 1
11.1%
9 1
11.1%
2 1
11.1%
5 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
0 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
1 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1006
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:10.152141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length4

Characters and Unicode

Total characters12967
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.77624 1
 
0.1%
1.50644 1
 
0.1%
1.43 1
 
0.1%
1.01706 1
 
0.1%
0.81771 1
 
0.1%
2023-12-09T20:45:10.450645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 27
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
22.2%
0 5
18.5%
7 5
18.5%
4 4
14.8%
6 3
11.1%
2 1
 
3.7%
5 1
 
3.7%
3 1
 
3.7%
8 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1027
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.9%
1 6
 
0.6%
0 5
 
0.5%
. 5
 
0.5%
7 5
 
0.5%
4 4
 
0.4%
6 3
 
0.3%
2 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1027
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:10.630553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length4

Characters and Unicode

Total characters12967
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.55944 1
 
0.1%
0.32 1
 
0.1%
0.31771 1
 
0.1%
0.38197 1
 
0.1%
0.71886 1
 
0.1%
2023-12-09T20:45:10.918686image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 27
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
18.5%
1 4
14.8%
7 4
14.8%
3 3
11.1%
8 3
11.1%
5 2
 
7.4%
9 2
 
7.4%
4 2
 
7.4%
2 1
 
3.7%
6 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1027
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.9%
. 5
 
0.5%
0 5
 
0.5%
1 4
 
0.4%
7 4
 
0.4%
3 3
 
0.3%
8 3
 
0.3%
5 2
 
0.2%
9 2
 
0.2%
4 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1027
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:45:11.092696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.949
Min length2

Characters and Unicode

Total characters12949
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
100 4
 
0.2%
90 1
 
0.1%
2023-12-09T20:45:11.382966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 9
64.3%
1 4
28.6%
9 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
98.6%
0 9
 
0.9%
1 4
 
0.4%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12949
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1009
7.8%

estimated_data_flag_1
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:11.553690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:45:11.832870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:45:11.935679image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:45:12.150398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:45:12.254046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:45:12.472859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:45:12.607447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.072
Min length2

Characters and Unicode

Total characters2072
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 994
98.8%
possible 6
 
0.6%
issue 6
 
0.6%
2023-12-09T20:45:12.864445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 994
48.0%
k 994
48.0%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
6
 
0.3%
Other values (2) 12
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1060
51.2%
Uppercase Letter 1006
48.6%
Space Separator 6
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 994
93.8%
s 24
 
2.3%
e 12
 
1.1%
o 6
 
0.6%
i 6
 
0.6%
b 6
 
0.6%
l 6
 
0.6%
u 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
O 994
98.8%
P 6
 
0.6%
I 6
 
0.6%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2066
99.7%
Common 6
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 994
48.1%
k 994
48.1%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
I 6
 
0.3%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 994
48.0%
k 994
48.0%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
6
 
0.3%
Other values (2) 12
 
0.6%

alert_energy_meter_has
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:45:12.968902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:45:13.190311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:45:13.294832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:45:13.509024image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:45:13.640590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.012
Min length2

Characters and Unicode

Total characters2012
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 999
99.8%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T20:45:13.892556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1010
50.2%
Uppercase Letter 1001
49.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
98.9%
s 4
 
0.4%
e 2
 
0.2%
o 1
 
0.1%
i 1
 
0.1%
b 1
 
0.1%
l 1
 
0.1%
u 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
O 999
99.8%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2011
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
I 1
 
< 0.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%

alert_energy_no_meters
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:45:13.997389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:45:14.213588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:45:14.320682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:45:14.536363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:45:14.647945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.056
Min length2

Characters and Unicode

Total characters2056
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 944
94.4%
yes 56
 
5.6%
2023-12-09T20:45:14.881285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 944
45.9%
o 944
45.9%
Y 56
 
2.7%
e 56
 
2.7%
s 56
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1056
51.4%
Uppercase Letter 1000
48.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 944
89.4%
e 56
 
5.3%
s 56
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
N 944
94.4%
Y 56
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 2056
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 944
45.9%
o 944
45.9%
Y 56
 
2.7%
e 56
 
2.7%
s 56
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2056
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 944
45.9%
o 944
45.9%
Y 56
 
2.7%
e 56
 
2.7%
s 56
 
2.7%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:45:15.095502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.832
Min length10

Characters and Unicode

Total characters12832
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 944
48.6%
available 944
48.6%
2019-04-23 13
 
0.7%
2019-04-18 7
 
0.4%
2019-04-05 5
 
0.3%
2019-04-29 4
 
0.2%
2019-04-10 3
 
0.2%
2019-04-30 3
 
0.2%
2019-04-25 2
 
0.1%
2019-04-22 2
 
0.1%
Other values (14) 17
 
0.9%
2023-12-09T20:45:15.446650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1888
14.7%
l 1888
14.7%
N 944
7.4%
o 944
7.4%
b 944
7.4%
i 944
7.4%
e 944
7.4%
v 944
7.4%
A 944
7.4%
944
7.4%
Other values (11) 1504
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9440
73.6%
Uppercase Letter 1888
 
14.7%
Space Separator 944
 
7.4%
Decimal Number 448
 
3.5%
Dash Punctuation 112
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 127
28.3%
2 88
19.6%
1 73
16.3%
9 62
13.8%
4 50
 
11.2%
3 21
 
4.7%
5 10
 
2.2%
8 9
 
2.0%
6 8
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1888
20.0%
l 1888
20.0%
o 944
10.0%
b 944
10.0%
i 944
10.0%
e 944
10.0%
v 944
10.0%
t 944
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 944
50.0%
A 944
50.0%
Space Separator
ValueCountFrequency (%)
944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11328
88.3%
Common 1504
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
944
62.8%
0 127
 
8.4%
- 112
 
7.4%
2 88
 
5.9%
1 73
 
4.9%
9 62
 
4.1%
4 50
 
3.3%
3 21
 
1.4%
5 10
 
0.7%
8 9
 
0.6%
Latin
ValueCountFrequency (%)
a 1888
16.7%
l 1888
16.7%
N 944
8.3%
o 944
8.3%
b 944
8.3%
i 944
8.3%
e 944
8.3%
v 944
8.3%
A 944
8.3%
t 944
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12832
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1888
14.7%
l 1888
14.7%
N 944
7.4%
o 944
7.4%
b 944
7.4%
i 944
7.4%
e 944
7.4%
v 944
7.4%
A 944
7.4%
944
7.4%
Other values (11) 1504
11.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:45:15.568439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.03
Min length2

Characters and Unicode

Total characters2030
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes
ValueCountFrequency (%)
no 970
97.0%
yes 30
 
3.0%
2023-12-09T20:45:15.791821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 970
47.8%
o 970
47.8%
Y 30
 
1.5%
e 30
 
1.5%
s 30
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1030
50.7%
Uppercase Letter 1000
49.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 970
94.2%
e 30
 
2.9%
s 30
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 970
97.0%
Y 30
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2030
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 970
47.8%
o 970
47.8%
Y 30
 
1.5%
e 30
 
1.5%
s 30
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 970
47.8%
o 970
47.8%
Y 30
 
1.5%
e 30
 
1.5%
s 30
 
1.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:45:15.899352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.013
Min length2

Characters and Unicode

Total characters2013
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 987
98.7%
yes 13
 
1.3%
2023-12-09T20:45:16.122632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 987
49.0%
o 987
49.0%
Y 13
 
0.6%
e 13
 
0.6%
s 13
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1013
50.3%
Uppercase Letter 1000
49.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 987
97.4%
e 13
 
1.3%
s 13
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
N 987
98.7%
Y 13
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2013
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 987
49.0%
o 987
49.0%
Y 13
 
0.6%
e 13
 
0.6%
s 13
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 987
49.0%
o 987
49.0%
Y 13
 
0.6%
e 13
 
0.6%
s 13
 
0.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:45:16.231415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.002
Min length2

Characters and Unicode

Total characters2002
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 998
99.8%
yes 2
 
0.2%
2023-12-09T20:45:16.454067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 998
49.9%
o 998
49.9%
Y 2
 
0.1%
e 2
 
0.1%
s 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1002
50.0%
Uppercase Letter 1000
50.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 998
99.6%
e 2
 
0.2%
s 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 998
99.8%
Y 2
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 2002
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 998
49.9%
o 998
49.9%
Y 2
 
0.1%
e 2
 
0.1%
s 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 998
49.9%
o 998
49.9%
Y 2
 
0.1%
e 2
 
0.1%
s 2
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size84.4 KiB
2023-12-09T20:45:16.635883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length33
Mean length29.314
Min length2

Characters and Unicode

Total characters29314
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnable to Check (not enough data)
2nd rowNo
3rd rowUnable to Check (not enough data)
4th rowUnable to Check (not enough data)
5th rowUnable to Check (not enough data)
ValueCountFrequency (%)
unable 881
16.3%
to 881
16.3%
check 881
16.3%
not 881
16.3%
enough 881
16.3%
data 881
16.3%
no 116
 
2.1%
yes 3
 
0.1%
2023-12-09T20:45:16.931162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4405
15.0%
o 2759
 
9.4%
e 2646
 
9.0%
a 2643
 
9.0%
t 2643
 
9.0%
n 2643
 
9.0%
h 1762
 
6.0%
( 881
 
3.0%
) 881
 
3.0%
d 881
 
3.0%
Other values (11) 7170
24.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21266
72.5%
Space Separator 4405
 
15.0%
Uppercase Letter 1881
 
6.4%
Open Punctuation 881
 
3.0%
Close Punctuation 881
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2759
13.0%
e 2646
12.4%
a 2643
12.4%
t 2643
12.4%
n 2643
12.4%
h 1762
8.3%
d 881
 
4.1%
g 881
 
4.1%
u 881
 
4.1%
k 881
 
4.1%
Other values (4) 2646
12.4%
Uppercase Letter
ValueCountFrequency (%)
U 881
46.8%
C 881
46.8%
N 116
 
6.2%
Y 3
 
0.2%
Space Separator
ValueCountFrequency (%)
4405
100.0%
Open Punctuation
ValueCountFrequency (%)
( 881
100.0%
Close Punctuation
ValueCountFrequency (%)
) 881
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23147
79.0%
Common 6167
 
21.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2759
11.9%
e 2646
11.4%
a 2643
11.4%
t 2643
11.4%
n 2643
11.4%
h 1762
 
7.6%
d 881
 
3.8%
g 881
 
3.8%
u 881
 
3.8%
U 881
 
3.8%
Other values (8) 4527
19.6%
Common
ValueCountFrequency (%)
4405
71.4%
( 881
 
14.3%
) 881
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4405
15.0%
o 2759
 
9.4%
e 2646
 
9.0%
a 2643
 
9.0%
t 2643
 
9.0%
n 2643
 
9.0%
h 1762
 
6.0%
( 881
 
3.0%
) 881
 
3.0%
d 881
 
3.0%
Other values (11) 7170
24.5%
Distinct714
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T20:45:17.341602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.694
Min length4

Characters and Unicode

Total characters5694
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)56.0%

Sample

1st row686838
2nd row384432
3rd row577534
4th row390878
5th row1601977
ValueCountFrequency (%)
106800 9
 
0.9%
110400 8
 
0.8%
96000 8
 
0.8%
122400 7
 
0.7%
109200 7
 
0.7%
93600 6
 
0.6%
112800 6
 
0.6%
91200 6
 
0.6%
129600 5
 
0.5%
159600 5
 
0.5%
Other values (704) 933
93.3%
2023-12-09T20:45:17.882790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1480
26.0%
1 809
14.2%
2 545
 
9.6%
8 518
 
9.1%
5 487
 
8.6%
6 448
 
7.9%
4 384
 
6.7%
7 365
 
6.4%
9 338
 
5.9%
3 320
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5694
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1480
26.0%
1 809
14.2%
2 545
 
9.6%
8 518
 
9.1%
5 487
 
8.6%
6 448
 
7.9%
4 384
 
6.7%
7 365
 
6.4%
9 338
 
5.9%
3 320
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Common 5694
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1480
26.0%
1 809
14.2%
2 545
 
9.6%
8 518
 
9.1%
5 487
 
8.6%
6 448
 
7.9%
4 384
 
6.7%
7 365
 
6.4%
9 338
 
5.9%
3 320
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1480
26.0%
1 809
14.2%
2 545
 
9.6%
8 518
 
9.1%
5 487
 
8.6%
6 448
 
7.9%
4 384
 
6.7%
7 365
 
6.4%
9 338
 
5.9%
3 320
 
5.6%
Distinct715
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T20:45:18.318356image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.703
Min length4

Characters and Unicode

Total characters5703
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique562 ?
Unique (%)56.2%

Sample

1st row685705.9
2nd row384432
3rd row577534
4th row393087.2
5th row1601977
ValueCountFrequency (%)
106800 9
 
0.9%
110400 8
 
0.8%
96000 8
 
0.8%
122400 7
 
0.7%
109200 7
 
0.7%
93600 6
 
0.6%
91200 6
 
0.6%
112800 6
 
0.6%
97200 5
 
0.5%
104400 5
 
0.5%
Other values (705) 933
93.3%
2023-12-09T20:45:18.904934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1486
26.1%
1 806
14.1%
2 551
 
9.7%
8 507
 
8.9%
5 491
 
8.6%
6 454
 
8.0%
4 386
 
6.8%
7 359
 
6.3%
9 342
 
6.0%
3 317
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5699
99.9%
Other Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1486
26.1%
1 806
14.1%
2 551
 
9.7%
8 507
 
8.9%
5 491
 
8.6%
6 454
 
8.0%
4 386
 
6.8%
7 359
 
6.3%
9 342
 
6.0%
3 317
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5703
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1486
26.1%
1 806
14.1%
2 551
 
9.7%
8 507
 
8.9%
5 491
 
8.6%
6 454
 
8.0%
4 386
 
6.8%
7 359
 
6.3%
9 342
 
6.0%
3 317
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5703
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1486
26.1%
1 806
14.1%
2 551
 
9.7%
8 507
 
8.9%
5 491
 
8.6%
6 454
 
8.0%
4 386
 
6.8%
7 359
 
6.3%
9 342
 
6.0%
3 317
 
5.6%
Distinct714
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T20:45:19.352833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.701
Min length4

Characters and Unicode

Total characters5701
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)56.0%

Sample

1st row685705.9
2nd row384432
3rd row577534
4th row393087.2
5th row1601977
ValueCountFrequency (%)
106800 9
 
0.9%
110400 8
 
0.8%
96000 8
 
0.8%
122400 7
 
0.7%
109200 7
 
0.7%
93600 6
 
0.6%
91200 6
 
0.6%
112800 6
 
0.6%
129600 5
 
0.5%
97200 5
 
0.5%
Other values (704) 933
93.3%
2023-12-09T20:45:19.918272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1482
26.0%
1 808
14.2%
2 549
 
9.6%
8 516
 
9.1%
5 489
 
8.6%
6 446
 
7.8%
4 383
 
6.7%
7 366
 
6.4%
9 338
 
5.9%
3 320
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5697
99.9%
Other Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1482
26.0%
1 808
14.2%
2 549
 
9.6%
8 516
 
9.1%
5 489
 
8.6%
6 446
 
7.8%
4 383
 
6.7%
7 366
 
6.4%
9 338
 
5.9%
3 320
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5701
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1482
26.0%
1 808
14.2%
2 549
 
9.6%
8 516
 
9.1%
5 489
 
8.6%
6 446
 
7.8%
4 383
 
6.7%
7 366
 
6.4%
9 338
 
5.9%
3 320
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5701
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1482
26.0%
1 808
14.2%
2 549
 
9.6%
8 516
 
9.1%
5 489
 
8.6%
6 446
 
7.8%
4 383
 
6.7%
7 366
 
6.4%
9 338
 
5.9%
3 320
 
5.6%
Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:45:20.169027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.762
Min length4

Characters and Unicode

Total characters12762
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
42674 1
 
0.1%
20204 1
 
0.1%
26555 1
 
0.1%
39590 1
 
0.1%
72752 1
 
0.1%
35532 1
 
0.1%
143982 1
 
0.1%
114000 1
 
0.1%
Other values (22) 22
 
1.1%
2023-12-09T20:45:20.533193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1122
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.0%
Uppercase Letter 1940
 
15.2%
Space Separator 970
 
7.6%
Decimal Number 152
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
19.7%
1 17
11.2%
7 16
10.5%
8 16
10.5%
2 15
9.9%
4 14
9.2%
6 12
 
7.9%
5 11
 
7.2%
9 11
 
7.2%
3 10
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
o 970
10.0%
b 970
10.0%
i 970
10.0%
e 970
10.0%
v 970
10.0%
t 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.2%
Common 1122
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
970
86.5%
0 30
 
2.7%
1 17
 
1.5%
7 16
 
1.4%
8 16
 
1.4%
2 15
 
1.3%
4 14
 
1.2%
6 12
 
1.1%
5 11
 
1.0%
9 11
 
1.0%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
o 970
8.3%
b 970
8.3%
i 970
8.3%
e 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1122
8.8%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:45:20.752340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.643
Min length10

Characters and Unicode

Total characters12643
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd row12/31/2018
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 881
46.8%
available 881
46.8%
12/31/2018 43
 
2.3%
01/31/2019 19
 
1.0%
02/28/2019 17
 
0.9%
03/31/2019 17
 
0.9%
12/31/2015 4
 
0.2%
11/30/2018 2
 
0.1%
09/30/2018 2
 
0.1%
02/28/2018 2
 
0.1%
Other values (13) 13
 
0.7%
2023-12-09T20:45:21.086569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1762
13.9%
l 1762
13.9%
N 881
7.0%
o 881
7.0%
b 881
7.0%
i 881
7.0%
e 881
7.0%
v 881
7.0%
A 881
7.0%
881
7.0%
Other values (11) 2071
16.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8810
69.7%
Uppercase Letter 1762
 
13.9%
Decimal Number 952
 
7.5%
Space Separator 881
 
7.0%
Other Punctuation 238
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 290
30.5%
2 211
22.2%
0 190
20.0%
3 119
12.5%
8 75
 
7.9%
9 58
 
6.1%
5 6
 
0.6%
6 2
 
0.2%
4 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 1762
20.0%
l 1762
20.0%
o 881
10.0%
b 881
10.0%
i 881
10.0%
e 881
10.0%
v 881
10.0%
t 881
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 881
50.0%
A 881
50.0%
Space Separator
ValueCountFrequency (%)
881
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10572
83.6%
Common 2071
 
16.4%

Most frequent character per script

Common
ValueCountFrequency (%)
881
42.5%
1 290
 
14.0%
/ 238
 
11.5%
2 211
 
10.2%
0 190
 
9.2%
3 119
 
5.7%
8 75
 
3.6%
9 58
 
2.8%
5 6
 
0.3%
6 2
 
0.1%
Latin
ValueCountFrequency (%)
a 1762
16.7%
l 1762
16.7%
N 881
8.3%
o 881
8.3%
b 881
8.3%
i 881
8.3%
e 881
8.3%
v 881
8.3%
A 881
8.3%
t 881
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1762
13.9%
l 1762
13.9%
N 881
7.0%
o 881
7.0%
b 881
7.0%
i 881
7.0%
e 881
7.0%
v 881
7.0%
A 881
7.0%
881
7.0%
Other values (11) 2071
16.4%
Distinct100
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:45:21.456998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.33
Min length3

Characters and Unicode

Total characters12330
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)9.9%

Sample

1st rowNot Available
2nd row7252.6
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 901
47.4%
available 901
47.4%
30619.2 1
 
0.1%
34287 1
 
0.1%
6663.6 1
 
0.1%
32133.8 1
 
0.1%
8321.3 1
 
0.1%
1879.9 1
 
0.1%
9352.1 1
 
0.1%
22928.9 1
 
0.1%
Other values (91) 91
 
4.8%
2023-12-09T20:45:21.965095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1802
14.6%
a 1802
14.6%
o 901
7.3%
e 901
7.3%
b 901
7.3%
i 901
7.3%
N 901
7.3%
v 901
7.3%
A 901
7.3%
901
7.3%
Other values (12) 1518
12.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9010
73.1%
Uppercase Letter 1802
 
14.6%
Space Separator 901
 
7.3%
Decimal Number 532
 
4.3%
Other Punctuation 85
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 79
14.8%
2 75
14.1%
4 66
12.4%
3 58
10.9%
5 49
9.2%
6 47
8.8%
8 42
7.9%
9 40
7.5%
0 39
7.3%
7 37
7.0%
Lowercase Letter
ValueCountFrequency (%)
l 1802
20.0%
a 1802
20.0%
o 901
10.0%
e 901
10.0%
b 901
10.0%
i 901
10.0%
v 901
10.0%
t 901
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 901
50.0%
A 901
50.0%
Space Separator
ValueCountFrequency (%)
901
100.0%
Other Punctuation
ValueCountFrequency (%)
. 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10812
87.7%
Common 1518
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
901
59.4%
. 85
 
5.6%
1 79
 
5.2%
2 75
 
4.9%
4 66
 
4.3%
3 58
 
3.8%
5 49
 
3.2%
6 47
 
3.1%
8 42
 
2.8%
9 40
 
2.6%
Other values (2) 76
 
5.0%
Latin
ValueCountFrequency (%)
l 1802
16.7%
a 1802
16.7%
o 901
8.3%
e 901
8.3%
b 901
8.3%
i 901
8.3%
N 901
8.3%
v 901
8.3%
A 901
8.3%
t 901
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1802
14.6%
a 1802
14.6%
o 901
7.3%
e 901
7.3%
b 901
7.3%
i 901
7.3%
N 901
7.3%
v 901
7.3%
A 901
7.3%
901
7.3%
Other values (12) 1518
12.3%
Distinct88
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:45:22.336799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.407
Min length3

Characters and Unicode

Total characters12407
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)8.7%

Sample

1st rowNot Available
2nd row7252.6
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 913
47.7%
available 913
47.7%
5219.8 1
 
0.1%
22928.9 1
 
0.1%
1879.9 1
 
0.1%
25375.7 1
 
0.1%
25671.9 1
 
0.1%
32133.8 1
 
0.1%
2043.7 1
 
0.1%
20831.7 1
 
0.1%
Other values (79) 79
 
4.1%
2023-12-09T20:45:22.834368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1826
14.7%
a 1826
14.7%
o 913
7.4%
e 913
7.4%
b 913
7.4%
i 913
7.4%
N 913
7.4%
v 913
7.4%
A 913
7.4%
913
7.4%
Other values (12) 1451
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9130
73.6%
Uppercase Letter 1826
 
14.7%
Space Separator 913
 
7.4%
Decimal Number 464
 
3.7%
Other Punctuation 74
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 67
14.4%
2 65
14.0%
4 62
13.4%
3 47
10.1%
5 47
10.1%
6 45
9.7%
8 35
7.5%
0 32
6.9%
9 32
6.9%
7 32
6.9%
Lowercase Letter
ValueCountFrequency (%)
l 1826
20.0%
a 1826
20.0%
o 913
10.0%
e 913
10.0%
b 913
10.0%
i 913
10.0%
v 913
10.0%
t 913
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 913
50.0%
A 913
50.0%
Space Separator
ValueCountFrequency (%)
913
100.0%
Other Punctuation
ValueCountFrequency (%)
. 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10956
88.3%
Common 1451
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
913
62.9%
. 74
 
5.1%
1 67
 
4.6%
2 65
 
4.5%
4 62
 
4.3%
3 47
 
3.2%
5 47
 
3.2%
6 45
 
3.1%
8 35
 
2.4%
0 32
 
2.2%
Other values (2) 64
 
4.4%
Latin
ValueCountFrequency (%)
l 1826
16.7%
a 1826
16.7%
o 913
8.3%
e 913
8.3%
b 913
8.3%
i 913
8.3%
N 913
8.3%
v 913
8.3%
A 913
8.3%
t 913
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12407
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1826
14.7%
a 1826
14.7%
o 913
7.4%
e 913
7.4%
b 913
7.4%
i 913
7.4%
N 913
7.4%
v 913
7.4%
A 913
7.4%
913
7.4%
Other values (12) 1451
11.7%
Distinct88
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:45:23.190420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.284
Min length3

Characters and Unicode

Total characters12284
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)8.7%

Sample

1st rowNot Available
2nd row18.87
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 913
47.7%
available 913
47.7%
39.06 1
 
0.1%
71.61 1
 
0.1%
20.24 1
 
0.1%
13.98 1
 
0.1%
14.64 1
 
0.1%
21.68 1
 
0.1%
21.76 1
 
0.1%
21.94 1
 
0.1%
Other values (79) 79
 
4.1%
2023-12-09T20:45:23.659725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1826
14.9%
l 1826
14.9%
N 913
7.4%
t 913
7.4%
913
7.4%
A 913
7.4%
v 913
7.4%
i 913
7.4%
b 913
7.4%
e 913
7.4%
Other values (12) 1328
10.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9130
74.3%
Uppercase Letter 1826
 
14.9%
Space Separator 913
 
7.4%
Decimal Number 328
 
2.7%
Other Punctuation 87
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 72
22.0%
2 44
13.4%
3 33
10.1%
6 28
 
8.5%
4 28
 
8.5%
8 28
 
8.5%
7 27
 
8.2%
9 27
 
8.2%
5 25
 
7.6%
0 16
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 1826
20.0%
l 1826
20.0%
t 913
10.0%
v 913
10.0%
i 913
10.0%
b 913
10.0%
e 913
10.0%
o 913
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 913
50.0%
A 913
50.0%
Space Separator
ValueCountFrequency (%)
913
100.0%
Other Punctuation
ValueCountFrequency (%)
. 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10956
89.2%
Common 1328
 
10.8%

Most frequent character per script

Common
ValueCountFrequency (%)
913
68.8%
. 87
 
6.6%
1 72
 
5.4%
2 44
 
3.3%
3 33
 
2.5%
6 28
 
2.1%
4 28
 
2.1%
8 28
 
2.1%
7 27
 
2.0%
9 27
 
2.0%
Other values (2) 41
 
3.1%
Latin
ValueCountFrequency (%)
a 1826
16.7%
l 1826
16.7%
N 913
8.3%
t 913
8.3%
A 913
8.3%
v 913
8.3%
i 913
8.3%
b 913
8.3%
e 913
8.3%
o 913
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1826
14.9%
l 1826
14.9%
N 913
7.4%
t 913
7.4%
913
7.4%
A 913
7.4%
v 913
7.4%
i 913
7.4%
b 913
7.4%
e 913
7.4%
Other values (12) 1328
10.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:23.843480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:45:24.131429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:45:24.341592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.914
Min length5

Characters and Unicode

Total characters12914
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
17237.3 1
 
0.1%
29305.4 1
 
0.1%
341.5 1
 
0.1%
8023.9 1
 
0.1%
1922.5 1
 
0.1%
1256.8 1
 
0.1%
20009.3 1
 
0.1%
13882.3 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:45:24.691782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1070
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.4%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 71
 
0.5%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
18.3%
2 10
14.1%
3 10
14.1%
8 7
9.9%
0 6
8.5%
5 6
8.5%
7 5
 
7.0%
9 5
 
7.0%
6 5
 
7.0%
4 4
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.7%
Common 1070
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
987
92.2%
1 13
 
1.2%
. 12
 
1.1%
2 10
 
0.9%
3 10
 
0.9%
8 7
 
0.7%
0 6
 
0.6%
5 6
 
0.6%
7 5
 
0.5%
9 5
 
0.5%
Other values (2) 9
 
0.8%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1070
8.3%
Distinct88
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:45:25.046958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.405
Min length3

Characters and Unicode

Total characters12405
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)8.7%

Sample

1st rowNot Available
2nd row7252.6
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 913
47.7%
available 913
47.7%
5219.8 1
 
0.1%
22928.9 1
 
0.1%
1879.9 1
 
0.1%
25375.7 1
 
0.1%
25671.9 1
 
0.1%
32133.8 1
 
0.1%
2043.7 1
 
0.1%
20831.7 1
 
0.1%
Other values (79) 79
 
4.1%
2023-12-09T20:45:25.541821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1826
14.7%
l 1826
14.7%
N 913
7.4%
t 913
7.4%
913
7.4%
A 913
7.4%
v 913
7.4%
i 913
7.4%
b 913
7.4%
e 913
7.4%
Other values (12) 1449
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9130
73.6%
Uppercase Letter 1826
 
14.7%
Space Separator 913
 
7.4%
Decimal Number 463
 
3.7%
Other Punctuation 73
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 67
14.5%
2 65
14.0%
4 62
13.4%
3 47
10.2%
5 46
9.9%
6 43
9.3%
8 37
8.0%
0 32
6.9%
9 32
6.9%
7 32
6.9%
Lowercase Letter
ValueCountFrequency (%)
a 1826
20.0%
l 1826
20.0%
t 913
10.0%
v 913
10.0%
i 913
10.0%
b 913
10.0%
e 913
10.0%
o 913
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 913
50.0%
A 913
50.0%
Space Separator
ValueCountFrequency (%)
913
100.0%
Other Punctuation
ValueCountFrequency (%)
. 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10956
88.3%
Common 1449
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
913
63.0%
. 73
 
5.0%
1 67
 
4.6%
2 65
 
4.5%
4 62
 
4.3%
3 47
 
3.2%
5 46
 
3.2%
6 43
 
3.0%
8 37
 
2.6%
0 32
 
2.2%
Other values (2) 64
 
4.4%
Latin
ValueCountFrequency (%)
a 1826
16.7%
l 1826
16.7%
N 913
8.3%
t 913
8.3%
A 913
8.3%
v 913
8.3%
i 913
8.3%
b 913
8.3%
e 913
8.3%
o 913
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1826
14.7%
l 1826
14.7%
N 913
7.4%
t 913
7.4%
913
7.4%
A 913
7.4%
v 913
7.4%
i 913
7.4%
b 913
7.4%
e 913
7.4%
Other values (12) 1449
11.7%
Distinct98
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:45:25.920946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.185
Min length2

Characters and Unicode

Total characters12185
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)9.5%

Sample

1st rowNot Available
2nd row18.87
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 901
47.4%
available 901
47.4%
13.78 2
 
0.1%
27.97 2
 
0.1%
18.45 1
 
0.1%
20.24 1
 
0.1%
13.98 1
 
0.1%
14.64 1
 
0.1%
21.68 1
 
0.1%
12 1
 
0.1%
Other values (89) 89
 
4.7%
2023-12-09T20:45:26.411704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1802
14.8%
l 1802
14.8%
N 901
7.4%
t 901
7.4%
901
7.4%
A 901
7.4%
v 901
7.4%
i 901
7.4%
b 901
7.4%
e 901
7.4%
Other values (12) 1373
11.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9010
73.9%
Uppercase Letter 1802
 
14.8%
Space Separator 901
 
7.4%
Decimal Number 374
 
3.1%
Other Punctuation 98
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 83
22.2%
2 50
13.4%
3 35
9.4%
4 33
 
8.8%
6 33
 
8.8%
9 32
 
8.6%
7 30
 
8.0%
8 30
 
8.0%
5 27
 
7.2%
0 21
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1802
20.0%
l 1802
20.0%
t 901
10.0%
v 901
10.0%
i 901
10.0%
b 901
10.0%
e 901
10.0%
o 901
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 901
50.0%
A 901
50.0%
Space Separator
ValueCountFrequency (%)
901
100.0%
Other Punctuation
ValueCountFrequency (%)
. 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10812
88.7%
Common 1373
 
11.3%

Most frequent character per script

Common
ValueCountFrequency (%)
901
65.6%
. 98
 
7.1%
1 83
 
6.0%
2 50
 
3.6%
3 35
 
2.5%
4 33
 
2.4%
6 33
 
2.4%
9 32
 
2.3%
7 30
 
2.2%
8 30
 
2.2%
Other values (2) 48
 
3.5%
Latin
ValueCountFrequency (%)
a 1802
16.7%
l 1802
16.7%
N 901
8.3%
t 901
8.3%
A 901
8.3%
v 901
8.3%
i 901
8.3%
b 901
8.3%
e 901
8.3%
o 901
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1802
14.8%
l 1802
14.8%
N 901
7.4%
t 901
7.4%
901
7.4%
A 901
7.4%
v 901
7.4%
i 901
7.4%
b 901
7.4%
e 901
7.4%
Other values (12) 1373
11.3%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:26.599199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:45:26.884785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:27.057357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.989
Min length2

Characters and Unicode

Total characters12989
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
82 1
 
0.1%
2023-12-09T20:45:27.345881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.8%
8 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:45:27.515871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.94
Min length1

Characters and Unicode

Total characters12940
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0 5
 
0.3%
2023-12-09T20:45:27.814089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.9%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Decimal Number
ValueCountFrequency (%)
0 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
99.5%
0 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (2) 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:27.992078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
05/16/2016 1
 
0.1%
12/19/2011 1
 
0.1%
2023-12-09T20:45:28.292086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 16
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
0 3
18.8%
2 3
18.8%
6 2
 
12.5%
5 1
 
6.2%
9 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.0%
1 6
 
0.6%
/ 4
 
0.4%
0 3
 
0.3%
2 3
 
0.3%
6 2
 
0.2%
5 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:28.466800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length4

Characters and Unicode

Total characters12982
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
leed 2
 
0.1%
2023-12-09T20:45:28.747309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 2004
 
15.4%
Space Separator 998
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
49.8%
A 998
49.8%
E 4
 
0.2%
L 2
 
0.1%
D 2
 
0.1%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11984
92.3%
Common 998
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Other values (3) 8
 
0.1%
Common
ValueCountFrequency (%)
998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1006
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:28.927385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
05/16/2016 1
 
0.1%
12/19/2011 1
 
0.1%
2023-12-09T20:45:29.224587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 16
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
0 3
18.8%
2 3
18.8%
6 2
 
12.5%
5 1
 
6.2%
9 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.0%
1 6
 
0.6%
/ 4
 
0.4%
0 3
 
0.3%
2 3
 
0.3%
6 2
 
0.2%
5 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:29.396554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length7

Characters and Unicode

Total characters12994
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
0.66667 1
 
0.1%
2023-12-09T20:45:29.690031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
6 4
66.7%
0 1
 
16.7%
7 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.3%
6 4
 
0.4%
0 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1006
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:29.858854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:45:30.144045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:30.317643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:45:30.598151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:45:30.775637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length7

Characters and Unicode

Total characters12994
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
1.16194 1
 
0.1%
2023-12-09T20:45:31.073709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
6 1
 
16.7%
9 1
 
16.7%
4 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.3%
1 3
 
0.3%
. 1
 
0.1%
6 1
 
0.1%
9 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1006
7.7%
Distinct162
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:45:31.297999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)15.0%

Sample

1st row04/26/2019 02:18 PM EDT
2nd row04/26/2019 02:21 PM EDT
3rd row04/26/2019 02:14 PM EDT
4th row04/26/2019 02:28 PM EDT
5th row04/26/2019 02:31 PM EDT
ValueCountFrequency (%)
edt 990
24.8%
pm 721
18.0%
04/09/2019 590
14.8%
am 279
 
7.0%
02:10 256
 
6.4%
04/11/2019 245
 
6.1%
04:47 238
 
5.9%
11:58 185
 
4.6%
04:46 58
 
1.5%
11:57 44
 
1.1%
Other values (184) 394
 
9.8%
2023-12-09T20:45:31.631792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3700
16.1%
3000
13.0%
1 2414
10.5%
/ 2000
8.7%
9 1663
7.2%
4 1622
 
7.1%
2 1467
 
6.4%
M 1000
 
4.3%
T 1000
 
4.3%
E 1000
 
4.3%
Other values (10) 4134
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3700
30.8%
1 2414
20.1%
9 1663
13.9%
4 1622
13.5%
2 1467
 
12.2%
5 323
 
2.7%
7 314
 
2.6%
8 251
 
2.1%
6 130
 
1.1%
3 116
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
M 1000
20.0%
T 1000
20.0%
E 1000
20.0%
D 990
19.8%
P 721
14.4%
A 279
 
5.6%
S 10
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3700
20.6%
3000
16.7%
1 2414
13.4%
/ 2000
11.1%
9 1663
9.2%
4 1622
9.0%
2 1467
 
8.2%
: 1000
 
5.6%
5 323
 
1.8%
7 314
 
1.7%
Other values (3) 497
 
2.8%
Latin
ValueCountFrequency (%)
M 1000
20.0%
T 1000
20.0%
E 1000
20.0%
D 990
19.8%
P 721
14.4%
A 279
 
5.6%
S 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3700
16.1%
3000
13.0%
1 2414
10.5%
/ 2000
8.7%
9 1663
7.2%
4 1622
 
7.1%
2 1467
 
6.4%
M 1000
 
4.3%
T 1000
 
4.3%
E 1000
 
4.3%
Other values (10) 4134
18.0%
Distinct153
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:45:31.854629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.94
Min length13

Characters and Unicode

Total characters22940
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)14.4%

Sample

1st row04/26/2019 02:18 PM EDT
2nd row04/26/2019 02:21 PM EDT
3rd row04/24/2019 02:26 AM EDT
4th row04/26/2019 02:28 PM EDT
5th row04/26/2019 02:29 PM EDT
ValueCountFrequency (%)
edt 961
24.1%
pm 715
17.9%
04/09/2019 594
14.9%
04:45 297
 
7.4%
02:08 293
 
7.3%
am 279
 
7.0%
04/11/2019 244
 
6.1%
11:54 161
 
4.0%
11:55 82
 
2.1%
est 33
 
0.8%
Other values (190) 329
 
8.2%
2023-12-09T20:45:32.185600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3701
16.1%
2988
13.0%
1 2130
9.3%
/ 1988
8.7%
4 1775
7.7%
9 1631
 
7.1%
2 1461
 
6.4%
: 994
 
4.3%
M 994
 
4.3%
E 994
 
4.3%
Other values (19) 4284
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11928
52.0%
Uppercase Letter 4982
21.7%
Space Separator 2988
 
13.0%
Other Punctuation 2982
 
13.0%
Lowercase Letter 60
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3701
31.0%
1 2130
17.9%
4 1775
14.9%
9 1631
13.7%
2 1461
 
12.2%
5 698
 
5.9%
8 351
 
2.9%
3 104
 
0.9%
6 52
 
0.4%
7 25
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
M 994
20.0%
E 994
20.0%
T 994
20.0%
D 961
19.3%
P 715
14.4%
A 285
 
5.7%
S 33
 
0.7%
N 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 12
20.0%
l 12
20.0%
o 6
10.0%
t 6
10.0%
v 6
10.0%
i 6
10.0%
b 6
10.0%
e 6
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1988
66.7%
: 994
33.3%
Space Separator
ValueCountFrequency (%)
2988
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17898
78.0%
Latin 5042
 
22.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 994
19.7%
E 994
19.7%
T 994
19.7%
D 961
19.1%
P 715
14.2%
A 285
 
5.7%
S 33
 
0.7%
a 12
 
0.2%
l 12
 
0.2%
N 6
 
0.1%
Other values (6) 36
 
0.7%
Common
ValueCountFrequency (%)
0 3701
20.7%
2988
16.7%
1 2130
11.9%
/ 1988
11.1%
4 1775
9.9%
9 1631
9.1%
2 1461
 
8.2%
: 994
 
5.6%
5 698
 
3.9%
8 351
 
2.0%
Other values (3) 181
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3701
16.1%
2988
13.0%
1 2130
9.3%
/ 1988
8.7%
4 1775
7.7%
9 1631
 
7.1%
2 1461
 
6.4%
: 994
 
4.3%
M 994
 
4.3%
E 994
 
4.3%
Other values (19) 4284
18.7%
Distinct88
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size77.6 KiB
2023-12-09T20:45:32.390464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.37
Min length13

Characters and Unicode

Total characters22370
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)8.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd row04/26/2019 02:14 PM EDT
4th row04/26/2019 02:27 PM EDT
5th row04/26/2019 02:31 PM EDT
ValueCountFrequency (%)
edt 916
23.6%
pm 669
17.3%
04/09/2019 608
15.7%
04:46 305
 
7.9%
02:09 291
 
7.5%
am 268
 
6.9%
04/11/2019 253
 
6.5%
11:56 183
 
4.7%
11:57 64
 
1.7%
available 63
 
1.6%
Other values (124) 254
 
6.6%
2023-12-09T20:45:32.698555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3519
15.7%
2874
12.8%
1 2033
9.1%
/ 1874
8.4%
9 1856
8.3%
4 1546
 
6.9%
2 1336
 
6.0%
: 937
 
4.2%
M 937
 
4.2%
E 937
 
4.2%
Other values (19) 4521
20.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11244
50.3%
Uppercase Letter 4811
21.5%
Space Separator 2874
 
12.8%
Other Punctuation 2811
 
12.6%
Lowercase Letter 630
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3519
31.3%
1 2033
18.1%
9 1856
16.5%
4 1546
13.7%
2 1336
 
11.9%
6 516
 
4.6%
5 272
 
2.4%
7 90
 
0.8%
3 51
 
0.5%
8 25
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
M 937
19.5%
E 937
19.5%
T 937
19.5%
D 916
19.0%
P 669
13.9%
A 331
 
6.9%
N 63
 
1.3%
S 21
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 126
20.0%
l 126
20.0%
o 63
10.0%
t 63
10.0%
v 63
10.0%
i 63
10.0%
b 63
10.0%
e 63
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1874
66.7%
: 937
33.3%
Space Separator
ValueCountFrequency (%)
2874
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16929
75.7%
Latin 5441
 
24.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 937
17.2%
E 937
17.2%
T 937
17.2%
D 916
16.8%
P 669
12.3%
A 331
 
6.1%
a 126
 
2.3%
l 126
 
2.3%
N 63
 
1.2%
o 63
 
1.2%
Other values (6) 336
 
6.2%
Common
ValueCountFrequency (%)
0 3519
20.8%
2874
17.0%
1 2033
12.0%
/ 1874
11.1%
9 1856
11.0%
4 1546
9.1%
2 1336
 
7.9%
: 937
 
5.5%
6 516
 
3.0%
5 272
 
1.6%
Other values (3) 166
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3519
15.7%
2874
12.8%
1 2033
9.1%
/ 1874
8.4%
9 1856
8.3%
4 1546
 
6.9%
2 1336
 
6.0%
: 937
 
4.2%
M 937
 
4.2%
E 937
 
4.2%
Other values (19) 4521
20.2%
Distinct132
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size77.2 KiB
2023-12-09T20:45:32.908236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length21.91
Min length13

Characters and Unicode

Total characters21910
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)12.2%

Sample

1st row04/24/2019 02:44 AM EDT
2nd row04/24/2019 02:52 AM EDT
3rd row04/24/2019 02:24 AM EDT
4th row04/24/2019 03:30 AM EDT
5th row04/24/2019 03:22 AM EDT
ValueCountFrequency (%)
edt 851
22.5%
pm 612
16.2%
04/09/2019 529
14.0%
am 279
 
7.4%
02:10 262
 
6.9%
04:47 246
 
6.5%
04/11/2019 241
 
6.4%
11:58 191
 
5.1%
not 109
 
2.9%
available 109
 
2.9%
Other values (175) 353
9.3%
2023-12-09T20:45:33.239198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3279
15.0%
2782
12.7%
1 2268
10.4%
/ 1782
 
8.1%
9 1439
 
6.6%
4 1427
 
6.5%
2 1299
 
5.9%
: 891
 
4.1%
M 891
 
4.1%
E 891
 
4.1%
Other values (19) 4961
22.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10692
48.8%
Uppercase Letter 4673
21.3%
Space Separator 2782
 
12.7%
Other Punctuation 2673
 
12.2%
Lowercase Letter 1090
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3279
30.7%
1 2268
21.2%
9 1439
13.5%
4 1427
13.3%
2 1299
 
12.1%
7 319
 
3.0%
5 282
 
2.6%
8 240
 
2.2%
3 94
 
0.9%
6 45
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 891
19.1%
E 891
19.1%
T 891
19.1%
D 851
18.2%
P 612
13.1%
A 388
8.3%
N 109
 
2.3%
S 40
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
a 218
20.0%
l 218
20.0%
o 109
10.0%
t 109
10.0%
v 109
10.0%
i 109
10.0%
b 109
10.0%
e 109
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1782
66.7%
: 891
33.3%
Space Separator
ValueCountFrequency (%)
2782
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16147
73.7%
Latin 5763
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 891
15.5%
E 891
15.5%
T 891
15.5%
D 851
14.8%
P 612
10.6%
A 388
6.7%
a 218
 
3.8%
l 218
 
3.8%
N 109
 
1.9%
o 109
 
1.9%
Other values (6) 585
10.2%
Common
ValueCountFrequency (%)
0 3279
20.3%
2782
17.2%
1 2268
14.0%
/ 1782
11.0%
9 1439
8.9%
4 1427
8.8%
2 1299
 
8.0%
: 891
 
5.5%
7 319
 
2.0%
5 282
 
1.7%
Other values (3) 379
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3279
15.0%
2782
12.7%
1 2268
10.4%
/ 1782
 
8.1%
9 1439
 
6.6%
4 1427
 
6.5%
2 1299
 
5.9%
: 891
 
4.1%
M 891
 
4.1%
E 891
 
4.1%
Other values (19) 4961
22.6%
Distinct111
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size69.6 KiB
2023-12-09T20:45:33.672783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length13
Mean length14.1
Min length13

Characters and Unicode

Total characters14100
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)11.0%

Sample

1st rowNot Available
2nd row03/08/2019 09:50 AM EST
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 890
40.1%
available 890
40.1%
edt 80
 
3.6%
pm 69
 
3.1%
am 41
 
1.8%
est 30
 
1.4%
03/08/2019 9
 
0.4%
04/19/2019 7
 
0.3%
04/17/2019 7
 
0.3%
04/29/2019 5
 
0.2%
Other values (157) 192
 
8.6%
2023-12-09T20:45:34.220348image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1780
12.6%
l 1780
12.6%
1220
8.7%
A 931
 
6.6%
N 890
 
6.3%
o 890
 
6.3%
t 890
 
6.3%
v 890
 
6.3%
i 890
 
6.3%
b 890
 
6.3%
Other values (19) 3049
21.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8900
63.1%
Uppercase Letter 2330
 
16.5%
Decimal Number 1320
 
9.4%
Space Separator 1220
 
8.7%
Other Punctuation 330
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 375
28.4%
1 262
19.8%
2 207
15.7%
9 139
 
10.5%
4 116
 
8.8%
3 74
 
5.6%
8 55
 
4.2%
5 37
 
2.8%
7 34
 
2.6%
6 21
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 1780
20.0%
l 1780
20.0%
o 890
10.0%
t 890
10.0%
v 890
10.0%
i 890
10.0%
b 890
10.0%
e 890
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 931
40.0%
N 890
38.2%
M 110
 
4.7%
E 110
 
4.7%
T 110
 
4.7%
D 80
 
3.4%
P 69
 
3.0%
S 30
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 220
66.7%
: 110
33.3%
Space Separator
ValueCountFrequency (%)
1220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11230
79.6%
Common 2870
 
20.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1780
15.9%
l 1780
15.9%
A 931
8.3%
N 890
7.9%
o 890
7.9%
t 890
7.9%
v 890
7.9%
i 890
7.9%
b 890
7.9%
e 890
7.9%
Other values (6) 509
 
4.5%
Common
ValueCountFrequency (%)
1220
42.5%
0 375
 
13.1%
1 262
 
9.1%
/ 220
 
7.7%
2 207
 
7.2%
9 139
 
4.8%
4 116
 
4.0%
: 110
 
3.8%
3 74
 
2.6%
8 55
 
1.9%
Other values (3) 92
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1780
12.6%
l 1780
12.6%
1220
8.7%
A 931
 
6.6%
N 890
 
6.3%
o 890
 
6.3%
t 890
 
6.3%
v 890
 
6.3%
i 890
 
6.3%
b 890
 
6.3%
Other values (19) 3049
21.6%
Distinct191
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:45:34.497971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)8.0%

Sample

1st row2019-04-30T11:53:26.000
2nd row2019-04-30T11:53:27.000
3rd row2019-04-30T11:53:27.000
4th row2019-04-30T11:53:27.000
5th row2019-04-30T11:53:27.000
ValueCountFrequency (%)
2019-05-01t15:11:52.000 22
 
2.2%
2019-05-01t15:11:50.000 20
 
2.0%
2019-05-01t15:12:05.000 20
 
2.0%
2019-05-01t15:11:51.000 20
 
2.0%
2019-05-01t15:11:17.000 19
 
1.9%
2019-05-01t15:11:53.000 18
 
1.8%
2019-05-01t15:11:19.000 18
 
1.8%
2019-05-01t15:12:03.000 17
 
1.7%
2019-05-01t15:12:16.000 16
 
1.6%
2019-05-01t15:12:02.000 16
 
1.6%
Other values (181) 814
81.4%
2023-12-09T20:45:34.886355image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6217
27.0%
1 4586
19.9%
5 2041
 
8.9%
- 2000
 
8.7%
: 2000
 
8.7%
2 1854
 
8.1%
9 1133
 
4.9%
T 1000
 
4.3%
. 1000
 
4.3%
3 391
 
1.7%
Other values (4) 778
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6217
36.6%
1 4586
27.0%
5 2041
 
12.0%
2 1854
 
10.9%
9 1133
 
6.7%
3 391
 
2.3%
4 360
 
2.1%
6 140
 
0.8%
7 139
 
0.8%
8 139
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6217
28.3%
1 4586
20.8%
5 2041
 
9.3%
- 2000
 
9.1%
: 2000
 
9.1%
2 1854
 
8.4%
9 1133
 
5.1%
. 1000
 
4.5%
3 391
 
1.8%
4 360
 
1.6%
Other values (3) 418
 
1.9%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6217
27.0%
1 4586
19.9%
5 2041
 
8.9%
- 2000
 
8.7%
: 2000
 
8.7%
2 1854
 
8.1%
9 1133
 
4.9%
T 1000
 
4.3%
. 1000
 
4.3%
3 391
 
1.7%
Other values (4) 778
 
3.4%
Distinct75
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:45:35.115200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)5.6%

Sample

1st row2019-04-30T11:57:52.000
2nd row2019-04-30T11:57:52.000
3rd row2019-04-30T11:57:52.000
4th row2019-04-30T11:57:52.000
5th row2019-04-30T11:57:52.000
ValueCountFrequency (%)
2019-05-01t15:32:48.000 870
87.0%
2019-04-26t17:17:04.000 14
 
1.4%
2019-04-30t11:57:52.000 7
 
0.7%
2019-04-18t12:38:30.000 7
 
0.7%
2019-05-01t08:19:30.000 6
 
0.6%
2019-04-30t19:13:14.000 6
 
0.6%
2019-05-01t15:11:40.000 4
 
0.4%
2019-03-08t20:50:10.000 3
 
0.3%
2019-03-15t11:55:15.000 3
 
0.3%
2019-04-30t14:02:21.000 3
 
0.3%
Other values (65) 77
 
7.7%
2023-12-09T20:45:35.437968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6035
26.2%
1 3005
13.1%
2 2005
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
5 1865
 
8.1%
4 1034
 
4.5%
9 1032
 
4.5%
T 1000
 
4.3%
. 1000
 
4.3%
Other values (4) 2024
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6035
35.5%
1 3005
17.7%
2 2005
 
11.8%
5 1865
 
11.0%
4 1034
 
6.1%
9 1032
 
6.1%
3 999
 
5.9%
8 911
 
5.4%
6 63
 
0.4%
7 51
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6035
27.4%
1 3005
13.7%
2 2005
 
9.1%
- 2000
 
9.1%
: 2000
 
9.1%
5 1865
 
8.5%
4 1034
 
4.7%
9 1032
 
4.7%
. 1000
 
4.5%
3 999
 
4.5%
Other values (3) 1025
 
4.7%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6035
26.2%
1 3005
13.1%
2 2005
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
5 1865
 
8.1%
4 1034
 
4.5%
9 1032
 
4.5%
T 1000
 
4.3%
. 1000
 
4.3%
Other values (4) 2024
 
8.8%

borough
Text

MISSING 

Distinct5
Distinct (%)0.5%
Missing16
Missing (%)1.6%
Memory size62.4 KiB
2023-12-09T20:45:35.605369image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.331300813
Min length5

Characters and Unicode

Total characters7214
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMANHATTAN
2nd rowMANHATTAN
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowMANHATTAN
ValueCountFrequency (%)
brooklyn 283
27.3%
manhattan 253
24.4%
queens 225
21.7%
bronx 171
16.5%
staten 52
 
5.0%
is 52
 
5.0%
2023-12-09T20:45:35.910302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1237
17.1%
A 811
11.2%
O 737
10.2%
T 610
8.5%
E 502
 
7.0%
B 454
 
6.3%
R 454
 
6.3%
S 329
 
4.6%
K 283
 
3.9%
L 283
 
3.9%
Other values (8) 1514
21.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7162
99.3%
Space Separator 52
 
0.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 1237
17.3%
A 811
11.3%
O 737
10.3%
T 610
8.5%
E 502
 
7.0%
B 454
 
6.3%
R 454
 
6.3%
S 329
 
4.6%
K 283
 
4.0%
L 283
 
4.0%
Other values (7) 1462
20.4%
Space Separator
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7162
99.3%
Common 52
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1237
17.3%
A 811
11.3%
O 737
10.3%
T 610
8.5%
E 502
 
7.0%
B 454
 
6.3%
R 454
 
6.3%
S 329
 
4.6%
K 283
 
4.0%
L 283
 
4.0%
Other values (7) 1462
20.4%
Common
ValueCountFrequency (%)
52
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1237
17.1%
A 811
11.2%
O 737
10.2%
T 610
8.5%
E 502
 
7.0%
B 454
 
6.3%
R 454
 
6.3%
S 329
 
4.6%
K 283
 
3.9%
L 283
 
3.9%
Other values (8) 1514
21.0%

latitude
Text

MISSING 

Distinct980
Distinct (%)99.6%
Missing16
Missing (%)1.6%
Memory size63.9 KiB
2023-12-09T20:45:36.259174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.87804878
Min length7

Characters and Unicode

Total characters8736
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique976 ?
Unique (%)99.2%

Sample

1st row40.756631
2nd row40.750698
3rd row40.75831
4th row40.753074
5th row40.756181
ValueCountFrequency (%)
40.733514 2
 
0.2%
40.720924 2
 
0.2%
40.697781 2
 
0.2%
40.676094 2
 
0.2%
40.603232 1
 
0.1%
40.675938 1
 
0.1%
40.810476 1
 
0.1%
40.709043 1
 
0.1%
40.715389 1
 
0.1%
40.595105 1
 
0.1%
Other values (970) 970
98.6%
2023-12-09T20:45:36.744447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1478
16.9%
0 1380
15.8%
. 984
11.3%
7 889
10.2%
6 795
9.1%
8 681
7.8%
5 617
7.1%
1 500
 
5.7%
2 481
 
5.5%
3 478
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7752
88.7%
Other Punctuation 984
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1478
19.1%
0 1380
17.8%
7 889
11.5%
6 795
10.3%
8 681
8.8%
5 617
8.0%
1 500
 
6.4%
2 481
 
6.2%
3 478
 
6.2%
9 453
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 984
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8736
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1478
16.9%
0 1380
15.8%
. 984
11.3%
7 889
10.2%
6 795
9.1%
8 681
7.8%
5 617
7.1%
1 500
 
5.7%
2 481
 
5.5%
3 478
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1478
16.9%
0 1380
15.8%
. 984
11.3%
7 889
10.2%
6 795
9.1%
8 681
7.8%
5 617
7.1%
1 500
 
5.7%
2 481
 
5.5%
3 478
 
5.5%

longitude
Text

MISSING 

Distinct981
Distinct (%)99.7%
Missing16
Missing (%)1.6%
Memory size64.9 KiB
2023-12-09T20:45:37.070140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.906504065
Min length7

Characters and Unicode

Total characters9748
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique978 ?
Unique (%)99.4%

Sample

1st row-73.982826
2nd row-73.974306
3rd row-73.982504
4th row-73.972753
5th row-73.986244
ValueCountFrequency (%)
73.860904 2
 
0.2%
73.877857 2
 
0.2%
73.942548 2
 
0.2%
73.902584 1
 
0.1%
73.982364 1
 
0.1%
73.927931 1
 
0.1%
73.999917 1
 
0.1%
73.971554 1
 
0.1%
73.886953 1
 
0.1%
73.79562 1
 
0.1%
Other values (971) 971
98.7%
2023-12-09T20:45:39.869012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1594
16.4%
3 1380
14.2%
9 1042
10.7%
- 984
10.1%
. 984
10.1%
8 762
7.8%
4 597
 
6.1%
1 503
 
5.2%
6 500
 
5.1%
2 471
 
4.8%
Other values (2) 931
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7780
79.8%
Dash Punctuation 984
 
10.1%
Other Punctuation 984
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1594
20.5%
3 1380
17.7%
9 1042
13.4%
8 762
9.8%
4 597
 
7.7%
1 503
 
6.5%
6 500
 
6.4%
2 471
 
6.1%
5 470
 
6.0%
0 461
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 984
100.0%
Other Punctuation
ValueCountFrequency (%)
. 984
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9748
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1594
16.4%
3 1380
14.2%
9 1042
10.7%
- 984
10.1%
. 984
10.1%
8 762
7.8%
4 597
 
6.1%
1 503
 
5.2%
6 500
 
5.1%
2 471
 
4.8%
Other values (2) 931
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1594
16.4%
3 1380
14.2%
9 1042
10.7%
- 984
10.1%
. 984
10.1%
8 762
7.8%
4 597
 
6.1%
1 503
 
5.2%
6 500
 
5.1%
2 471
 
4.8%
Other values (2) 931
9.6%

community_board
Text

MISSING 

Distinct59
Distinct (%)6.0%
Missing16
Missing (%)1.6%
Memory size58.3 KiB
2023-12-09T20:45:40.138786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2952
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row105
2nd row106
3rd row105
4th row106
5th row105
ValueCountFrequency (%)
105 63
 
6.4%
303 30
 
3.0%
305 29
 
2.9%
106 27
 
2.7%
412 26
 
2.6%
103 24
 
2.4%
401 23
 
2.3%
112 23
 
2.3%
111 22
 
2.2%
206 22
 
2.2%
Other values (49) 695
70.6%
2023-12-09T20:45:40.517847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 746
25.3%
1 701
23.7%
3 416
14.1%
2 313
10.6%
4 294
 
10.0%
5 187
 
6.3%
6 96
 
3.3%
7 78
 
2.6%
8 68
 
2.3%
9 53
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2952
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 746
25.3%
1 701
23.7%
3 416
14.1%
2 313
10.6%
4 294
 
10.0%
5 187
 
6.3%
6 96
 
3.3%
7 78
 
2.6%
8 68
 
2.3%
9 53
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 2952
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 746
25.3%
1 701
23.7%
3 416
14.1%
2 313
10.6%
4 294
 
10.0%
5 187
 
6.3%
6 96
 
3.3%
7 78
 
2.6%
8 68
 
2.3%
9 53
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 746
25.3%
1 701
23.7%
3 416
14.1%
2 313
10.6%
4 294
 
10.0%
5 187
 
6.3%
6 96
 
3.3%
7 78
 
2.6%
8 68
 
2.3%
9 53
 
1.8%

council_district
Text

MISSING 

Distinct51
Distinct (%)5.2%
Missing16
Missing (%)1.6%
Memory size57.1 KiB
2023-12-09T20:45:40.756626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.75
Min length1

Characters and Unicode

Total characters1722
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
4 77
 
7.8%
1 34
 
3.5%
8 33
 
3.4%
17 33
 
3.4%
36 29
 
2.9%
37 28
 
2.8%
41 25
 
2.5%
2 24
 
2.4%
15 24
 
2.4%
26 23
 
2.3%
Other values (41) 654
66.5%
2023-12-09T20:45:41.169107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 302
17.5%
4 294
17.1%
3 284
16.5%
2 254
14.8%
5 117
 
6.8%
7 105
 
6.1%
6 100
 
5.8%
8 98
 
5.7%
9 93
 
5.4%
0 75
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1722
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 302
17.5%
4 294
17.1%
3 284
16.5%
2 254
14.8%
5 117
 
6.8%
7 105
 
6.1%
6 100
 
5.8%
8 98
 
5.7%
9 93
 
5.4%
0 75
 
4.4%

Most occurring scripts

ValueCountFrequency (%)
Common 1722
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 302
17.5%
4 294
17.1%
3 284
16.5%
2 254
14.8%
5 117
 
6.8%
7 105
 
6.1%
6 100
 
5.8%
8 98
 
5.7%
9 93
 
5.4%
0 75
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 302
17.5%
4 294
17.1%
3 284
16.5%
2 254
14.8%
5 117
 
6.8%
7 105
 
6.1%
6 100
 
5.8%
8 98
 
5.7%
9 93
 
5.4%
0 75
 
4.4%

census_tract
Text

MISSING 

Distinct598
Distinct (%)60.8%
Missing16
Missing (%)1.6%
Memory size58.5 KiB
2023-12-09T20:45:41.673169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.181910569
Min length1

Characters and Unicode

Total characters3131
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique377 ?
Unique (%)38.3%

Sample

1st row119
2nd row88
3rd row125
4th row90
5th row119
ValueCountFrequency (%)
102 11
 
1.1%
11202 7
 
0.7%
104 7
 
0.7%
92 7
 
0.7%
119 7
 
0.7%
39 7
 
0.7%
9 6
 
0.6%
33 6
 
0.6%
16 6
 
0.6%
131 6
 
0.6%
Other values (588) 914
92.9%
2023-12-09T20:45:42.340256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 600
19.2%
2 441
14.1%
0 347
11.1%
3 333
10.6%
4 282
9.0%
9 258
8.2%
5 233
 
7.4%
7 232
 
7.4%
8 208
 
6.6%
6 197
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3131
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 600
19.2%
2 441
14.1%
0 347
11.1%
3 333
10.6%
4 282
9.0%
9 258
8.2%
5 233
 
7.4%
7 232
 
7.4%
8 208
 
6.6%
6 197
 
6.3%

Most occurring scripts

ValueCountFrequency (%)
Common 3131
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 600
19.2%
2 441
14.1%
0 347
11.1%
3 333
10.6%
4 282
9.0%
9 258
8.2%
5 233
 
7.4%
7 232
 
7.4%
8 208
 
6.6%
6 197
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 600
19.2%
2 441
14.1%
0 347
11.1%
3 333
10.6%
4 282
9.0%
9 258
8.2%
5 233
 
7.4%
7 232
 
7.4%
8 208
 
6.6%
6 197
 
6.3%

nta
Text

MISSING 

Distinct187
Distinct (%)19.0%
Missing16
Missing (%)1.6%
Memory size74.1 KiB
2023-12-09T20:45:42.645084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length39
Mean length19.44918699
Min length6

Characters and Unicode

Total characters19138
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowMidtown-Midtown South
2nd rowTurtle Bay-East Midtown
3rd rowMidtown-Midtown South
4th rowTurtle Bay-East Midtown
5th rowMidtown-Midtown South
ValueCountFrequency (%)
south 111
 
5.0%
east 110
 
4.9%
park 91
 
4.1%
heights 75
 
3.4%
north 63
 
2.8%
midtown-midtown 53
 
2.4%
hill 52
 
2.3%
west 46
 
2.1%
harlem 39
 
1.7%
new 37
 
1.7%
Other values (249) 1557
69.7%
2023-12-09T20:45:43.108256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1464
 
7.6%
t 1364
 
7.1%
o 1337
 
7.0%
a 1271
 
6.6%
1250
 
6.5%
r 1153
 
6.0%
n 1125
 
5.9%
i 1059
 
5.5%
l 971
 
5.1%
s 951
 
5.0%
Other values (45) 7193
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14405
75.3%
Uppercase Letter 2860
 
14.9%
Space Separator 1250
 
6.5%
Dash Punctuation 585
 
3.1%
Other Punctuation 22
 
0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1464
10.2%
t 1364
9.5%
o 1337
9.3%
a 1271
8.8%
r 1153
 
8.0%
n 1125
 
7.8%
i 1059
 
7.4%
l 971
 
6.7%
s 951
 
6.6%
h 580
 
4.0%
Other values (15) 3130
21.7%
Uppercase Letter
ValueCountFrequency (%)
H 356
12.4%
B 299
10.5%
M 293
10.2%
S 282
9.9%
C 225
 
7.9%
P 202
 
7.1%
E 175
 
6.1%
N 133
 
4.7%
W 122
 
4.3%
G 104
 
3.6%
Other values (14) 669
23.4%
Other Punctuation
ValueCountFrequency (%)
. 13
59.1%
' 9
40.9%
Space Separator
ValueCountFrequency (%)
1250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 585
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17265
90.2%
Common 1873
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1464
 
8.5%
t 1364
 
7.9%
o 1337
 
7.7%
a 1271
 
7.4%
r 1153
 
6.7%
n 1125
 
6.5%
i 1059
 
6.1%
l 971
 
5.6%
s 951
 
5.5%
h 580
 
3.4%
Other values (39) 5990
34.7%
Common
ValueCountFrequency (%)
1250
66.7%
- 585
31.2%
. 13
 
0.7%
' 9
 
0.5%
( 8
 
0.4%
) 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1464
 
7.6%
t 1364
 
7.1%
o 1337
 
7.0%
a 1271
 
6.6%
1250
 
6.5%
r 1153
 
6.0%
n 1125
 
5.9%
i 1059
 
5.5%
l 971
 
5.1%
s 951
 
5.0%
Other values (45) 7193
37.6%